Triple
T10553799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beauty Shop |
E249021
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Vanessa
Vanessa is a fictional character associated with the setting of a beauty shop, likely depicted as someone involved in or frequenting the salon environment.
|
E870339
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Vanessa | Statement: [Beauty Shop, character, Vanessa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vanessa Context triple: [Beauty Shop, character, Vanessa]
-
A.
Vanessa
Vanessa is the enigmatic, emotionally complex woman at the center of the film "By the Sea," whose inner turmoil drives the story’s exploration of marriage and personal grief.
-
B.
Vanessa
Vanessa is an English feminine given name that gained wider recognition through public figures such as Vanessa Trump.
-
C.
Vanessa Black
Vanessa Black is a chef and television personality known for her culinary work and for being married to dancer and chef Dean Sheremet.
-
D.
Viviane
Viviane is a legendary enchantress of Arthurian romance, often identified as the Lady of the Lake and known for her role in mentoring and imprisoning the wizard Merlin.
-
E.
Vanessa Howard
Vanessa Howard was a British actress known for her roles in 1960s and 1970s horror and exploitation films, including "The Blood Beast Terror" and "Mumsy, Nanny, Sonny & Girly."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vanessa Triple: [Beauty Shop, character, Vanessa]
Generated description
Vanessa is a fictional character associated with the setting of a beauty shop, likely depicted as someone involved in or frequenting the salon environment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vanessa Target entity description: Vanessa is a fictional character associated with the setting of a beauty shop, likely depicted as someone involved in or frequenting the salon environment.
-
A.
Vanessa
Vanessa is an English feminine given name that gained wider recognition through public figures such as Vanessa Trump.
-
B.
Vanessa
Vanessa is the enigmatic, emotionally complex woman at the center of the film "By the Sea," whose inner turmoil drives the story’s exploration of marriage and personal grief.
-
C.
Vanessa Black
Vanessa Black is a chef and television personality known for her culinary work and for being married to dancer and chef Dean Sheremet.
-
D.
Viviane
Viviane is a legendary enchantress of Arthurian romance, often identified as the Lady of the Lake and known for her role in mentoring and imprisoning the wizard Merlin.
-
E.
Vanessa Howard
Vanessa Howard was a British actress known for her roles in 1960s and 1970s horror and exploitation films, including "The Blood Beast Terror" and "Mumsy, Nanny, Sonny & Girly."
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d527118da081909ca61bc555a17609 |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9346f6a38819087647e7a09f40c41 |
completed | April 10, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69d938c8b25c8190bb048053d8668e5c |
completed | April 10, 2026, 5:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d939b1844881908c8fbcb9488863f6 |
completed | April 10, 2026, 5:56 p.m. |
Created at: April 6, 2026, 12:34 p.m.