Triple
T14990380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleepover |
E373818
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Yancy
Yancy is a fictional character who serves as the central protagonist in the story "Sleepover."
|
E1131550
|
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: Yancy | Statement: [Sleepover, mainCharacter, Yancy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yancy Context triple: [Sleepover, mainCharacter, Yancy]
-
A.
Warley
Warley is a locality within the Brentwood Borough of Essex, England, known primarily as a residential suburb with historical military and institutional connections.
-
B.
Deveraux
Deveraux is a French-origin surname commonly associated with various real and fictional individuals.
-
C.
Dancy
Dancy is an English surname most notably borne by actor Hugh Dancy.
-
D.
Enoe
Enoe refers to the Eno people, a Native American group historically located in the Piedmont region of what is now North Carolina.
-
E.
Tavon
Tavon is a masculine given name, often used in the United States and associated with several contemporary public figures and athletes.
- 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: Yancy Triple: [Sleepover, mainCharacter, Yancy]
Generated description
Yancy is a fictional character who serves as the central protagonist in the story "Sleepover."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yancy Target entity description: Yancy is a fictional character who serves as the central protagonist in the story "Sleepover."
-
A.
Warley
Warley is a locality within the Brentwood Borough of Essex, England, known primarily as a residential suburb with historical military and institutional connections.
-
B.
Deveraux
Deveraux is a French-origin surname commonly associated with various real and fictional individuals.
-
C.
Dancy
Dancy is an English surname most notably borne by actor Hugh Dancy.
-
D.
Enoe
Enoe refers to the Eno people, a Native American group historically located in the Piedmont region of what is now North Carolina.
-
E.
Tavon
Tavon is a masculine given name, often used in the United States and associated with several contemporary public figures and athletes.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7148a308190a687f4d0d61397c6 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe969683348190bb4688f24227af88 |
completed | May 9, 2026, 2:06 a.m. |
| NEDg | Description generation | batch_69fe98a230948190b35e2883475cff33 |
completed | May 9, 2026, 2:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe993c6094819086f0de1743272fd4 |
completed | May 9, 2026, 2:17 a.m. |
Created at: April 10, 2026, 2:53 a.m.