Triple
T16318052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darrell Waltrip |
E396221
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Jaws
Jaws is the nickname of Darrell Waltrip, a famously outspoken and successful NASCAR driver and later television commentator.
|
E1207000
|
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: Jaws | Statement: [Darrell Waltrip, nickname, Jaws]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaws Context triple: [Darrell Waltrip, nickname, Jaws]
-
A.
Jaws
Jaws is a 1974 thriller novel by Peter Benchley, best known for its story of a great white shark terrorizing a seaside resort town and inspiring the iconic 1975 film adaptation.
-
B.
Jaws
Jaws is the costumed jaguar mascot representing Indiana University–Purdue University Indianapolis (IUPUI) at its athletic events and campus activities.
-
C.
Jaws
Jaws is a 1975 American thriller film directed by Steven Spielberg about a great white shark that terrorizes a New England beach town.
-
D.
Jaws
Jaws is a towering, steel-toothed henchman and iconic villain from the James Bond film series, known for his near-invulnerability and menacing presence.
-
E.
Jaws: The Revenge
Jaws: The Revenge is a 1987 horror-thriller film and the fourth installment in the Jaws franchise, widely known for its vengeful shark storyline and poor critical reception.
- 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: Jaws Triple: [Darrell Waltrip, nickname, Jaws]
Generated description
Jaws is the nickname of Darrell Waltrip, a famously outspoken and successful NASCAR driver and later television commentator.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jaws Target entity description: Jaws is the nickname of Darrell Waltrip, a famously outspoken and successful NASCAR driver and later television commentator.
-
A.
Jaws
Jaws is a 1975 American thriller film directed by Steven Spielberg about a great white shark that terrorizes a New England beach town.
-
B.
Jaws
Jaws is a towering, steel-toothed henchman and iconic villain from the James Bond film series, known for his near-invulnerability and menacing presence.
-
C.
Jaws
Jaws is a 1974 thriller novel by Peter Benchley, best known for its story of a great white shark terrorizing a seaside resort town and inspiring the iconic 1975 film adaptation.
-
D.
Jaws
Jaws is the costumed jaguar mascot representing Indiana University–Purdue University Indianapolis (IUPUI) at its athletic events and campus activities.
-
E.
Jaws: The Revenge
Jaws: The Revenge is a 1987 horror-thriller film and the fourth installment in the Jaws franchise, widely known for its vengeful shark storyline and poor critical reception.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b3e3e081908a996b3e57ca4e32 |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002606f0e0819081f50dae9e6b7a0d |
completed | May 10, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_6a00275e44d481909bed62779ea9a0d7 |
completed | May 10, 2026, 6:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0027f99d948190b22812f0c9a2c0ff |
completed | May 10, 2026, 6:38 a.m. |
Created at: April 10, 2026, 5:06 a.m.