Triple
T13351531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saffron Burrows |
E318078
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object |
Victoria Helmsley
Victoria Helmsley is a fictional character portrayed by British actress Saffron Burrows.
|
E1034747
|
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: Victoria Helmsley | Statement: [Saffron Burrows, playedCharacter, Victoria Helmsley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Victoria Helmsley Context triple: [Saffron Burrows, playedCharacter, Victoria Helmsley]
-
A.
Elizabeth Dailey
Elizabeth Dailey is known primarily as the spouse of American actor and dancer Dan Dailey.
-
B.
Mary Morello
Mary Morello is an American activist and former schoolteacher best known as the mother of Rage Against the Machine guitarist Tom Morello.
-
C.
Hillary Whitney
Hillary Whitney is one of the two central lifelong friends whose complex, emotional relationship drives the plot of the film "Beaches."
-
D.
Katherine Rogers
Katherine Rogers was the mother of John Harvard, the English clergyman whose bequest helped found Harvard College in colonial Massachusetts.
-
E.
Rachel Marron
Rachel Marron is a famous pop singer and actress who becomes the client and love interest of a former Secret Service agent in the romantic thriller film "The Bodyguard."
- 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: Victoria Helmsley Triple: [Saffron Burrows, playedCharacter, Victoria Helmsley]
Generated description
Victoria Helmsley is a fictional character portrayed by British actress Saffron Burrows.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Victoria Helmsley Target entity description: Victoria Helmsley is a fictional character portrayed by British actress Saffron Burrows.
-
A.
Elizabeth Dailey
Elizabeth Dailey is known primarily as the spouse of American actor and dancer Dan Dailey.
-
B.
Mary Morello
Mary Morello is an American activist and former schoolteacher best known as the mother of Rage Against the Machine guitarist Tom Morello.
-
C.
Hillary Whitney
Hillary Whitney is one of the two central lifelong friends whose complex, emotional relationship drives the plot of the film "Beaches."
-
D.
Katherine Rogers
Katherine Rogers was the mother of John Harvard, the English clergyman whose bequest helped found Harvard College in colonial Massachusetts.
-
E.
Rachel Marron
Rachel Marron is a famous pop singer and actress who becomes the client and love interest of a former Secret Service agent in the romantic thriller film "The Bodyguard."
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8c2f1c819094f0970f35f18afa |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f47fd7c8190b8d98a181acd7710 |
completed | May 3, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_69f7204b6f108190bca6a0140620e03e |
completed | May 3, 2026, 10:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f720fbf0bc81908c68cf2844938e45 |
completed | May 3, 2026, 10:18 a.m. |
Created at: April 9, 2026, 9:32 p.m.