Triple
T4559956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maid |
E120567
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Tracy Vilar
Tracy Vilar is an American actress best known for her supporting roles in television series and films, often portraying sharp-witted, working-class characters.
|
E467964
|
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: Tracy Vilar | Statement: [Maid, castMember, Tracy Vilar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tracy Vilar Context triple: [Maid, castMember, Tracy Vilar]
-
A.
Tracy Sorel
Tracy Sorel is an individual notable enough to be recognized as a bearer of the surname Sorel, though specific widely known biographical or professional details are not well documented.
-
B.
Tracy Stevens
Tracy Stevens is best known as the wife of American basketball coach and executive Brad Stevens.
-
C.
Tracy Benchley
Tracy Benchley is a child of American author and screenwriter Peter Benchley, best known for writing the novel "Jaws."
-
D.
Tracy Wolfson
Tracy Wolfson is an American sportscaster best known as a longtime CBS Sports sideline reporter for NFL and college basketball coverage.
-
E.
Tracy Reiner
Tracy Reiner is an American actress known for her roles in films such as "A League of Their Own" and "When Harry Met Sally...."
- 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: Tracy Vilar Triple: [Maid, castMember, Tracy Vilar]
Generated description
Tracy Vilar is an American actress best known for her supporting roles in television series and films, often portraying sharp-witted, working-class characters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tracy Vilar Target entity description: Tracy Vilar is an American actress best known for her supporting roles in television series and films, often portraying sharp-witted, working-class characters.
-
A.
Tracy Sorel
Tracy Sorel is an individual notable enough to be recognized as a bearer of the surname Sorel, though specific widely known biographical or professional details are not well documented.
-
B.
Tracy Stevens
Tracy Stevens is best known as the wife of American basketball coach and executive Brad Stevens.
-
C.
Tracy Benchley
Tracy Benchley is a child of American author and screenwriter Peter Benchley, best known for writing the novel "Jaws."
-
D.
Tracy Wolfson
Tracy Wolfson is an American sportscaster best known as a longtime CBS Sports sideline reporter for NFL and college basketball coverage.
-
E.
Tracy Reiner
Tracy Reiner is an American actress known for her roles in films such as "A League of Their Own" and "When Harry Met Sally...."
- 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd582b871c8190be0b70c76d639000 |
completed | March 20, 2026, 2:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be397d7358819086fa3851318973ea |
completed | March 21, 2026, 6:23 a.m. |
| NEDg | Description generation | batch_69be3d05281481909a74ffb38fb5eb31 |
completed | March 21, 2026, 6:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be3dc3ce048190a725ea4b8e8a1ad4 |
completed | March 21, 2026, 6:42 a.m. |
Created at: March 20, 2026, 1:09 p.m.