Triple
T945986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Benchley |
E20413
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Tracy Benchley
Tracy Benchley is a child of American author and screenwriter Peter Benchley, best known for writing the novel "Jaws."
|
E213545
|
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 Benchley | Statement: [Peter Benchley, child, Tracy Benchley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tracy Benchley Context triple: [Peter Benchley, child, Tracy Benchley]
-
A.
Tracy Stevens
Tracy Stevens is best known as the wife of American basketball coach and executive Brad Stevens.
-
B.
Tracy Wolfson
Tracy Wolfson is an American sportscaster best known as a longtime CBS Sports sideline reporter for NFL and college basketball coverage.
-
C.
Tracy Bond
Tracy Bond is a fictional character in the James Bond series, best known as the woman James Bond marries in the novel and film "On Her Majesty's Secret Service."
-
D.
Dana DeMuth
Dana DeMuth is a longtime Major League Baseball umpire who has officiated numerous postseason games, including multiple World Series.
-
E.
Melissa Mathison
Melissa Mathison was an American screenwriter best known for writing the screenplay for Steven Spielberg’s film "E.T. the Extra-Terrestrial."
- 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 Benchley Triple: [Peter Benchley, child, Tracy Benchley]
Generated description
Tracy Benchley is a child of American author and screenwriter Peter Benchley, best known for writing the novel "Jaws."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tracy Benchley Target entity description: Tracy Benchley is a child of American author and screenwriter Peter Benchley, best known for writing the novel "Jaws."
-
A.
Tracy Stevens
Tracy Stevens is best known as the wife of American basketball coach and executive Brad Stevens.
-
B.
Tracy Wolfson
Tracy Wolfson is an American sportscaster best known as a longtime CBS Sports sideline reporter for NFL and college basketball coverage.
-
C.
Tracy Bond
Tracy Bond is a fictional character in the James Bond series, best known as the woman James Bond marries in the novel and film "On Her Majesty's Secret Service."
-
D.
Dana DeMuth
Dana DeMuth is a longtime Major League Baseball umpire who has officiated numerous postseason games, including multiple World Series.
-
E.
Melissa Mathison
Melissa Mathison was an American screenwriter best known for writing the screenplay for Steven Spielberg’s film "E.T. the Extra-Terrestrial."
- 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3a61b648190b1b6c932e047e161 |
completed | March 1, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeab03e388190b7b5c7c5802bf3c1 |
completed | March 8, 2026, 9:31 p.m. |
| NEDg | Description generation | batch_69adeb8a0a64819087e4505089e93093 |
completed | March 8, 2026, 9:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adec6fcaac8190b43d0cd1aa613c95 |
completed | March 8, 2026, 9:38 p.m. |
Created at: March 1, 2026, 7:40 p.m.