Triple
T2169733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Woods |
E48393
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Shark
Shark is an American legal drama television series starring James Woods as a ruthless but reforming Los Angeles prosecutor.
|
E239184
|
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: Shark | Statement: [James Woods, notableWork, Shark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shark Context triple: [James Woods, notableWork, Shark]
-
A.
Sharks
The Sharks are a Puerto Rican street gang in the musical and film "West Side Story," serving as rivals to the white American gang, the Jets.
-
B.
Tiburon
Tiburon is a small, affluent waterfront town in Marin County, California, known for its scenic views of San Francisco Bay and ferry access to nearby islands.
-
C.
Dolphin
Dolphin was the internal codename used by Nintendo during the development of the GameCube console.
-
D.
Bruce the shark
Bruce the shark is the animatronic great white shark character from the "Jaws" franchise, known for terrorizing swimmers and becoming an iconic movie monster.
-
E.
Marlin
Marlin is the cautious and devoted clownfish father from Pixar's "Finding Nemo" franchise, known for his ocean-spanning quest to rescue his son.
- 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: Shark Triple: [James Woods, notableWork, Shark]
Generated description
Shark is an American legal drama television series starring James Woods as a ruthless but reforming Los Angeles prosecutor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shark Target entity description: Shark is an American legal drama television series starring James Woods as a ruthless but reforming Los Angeles prosecutor.
-
A.
Sharks
The Sharks are a Puerto Rican street gang in the musical and film "West Side Story," serving as rivals to the white American gang, the Jets.
-
B.
Tiburon
Tiburon is a small, affluent waterfront town in Marin County, California, known for its scenic views of San Francisco Bay and ferry access to nearby islands.
-
C.
Dolphin
Dolphin was the internal codename used by Nintendo during the development of the GameCube console.
-
D.
Bruce the shark
Bruce the shark is the animatronic great white shark character from the "Jaws" franchise, known for terrorizing swimmers and becoming an iconic movie monster.
-
E.
Marlin
Marlin is the cautious and devoted clownfish father from Pixar's "Finding Nemo" franchise, known for his ocean-spanning quest to rescue his son.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbeaeb58881908ad34f7b253bac2a |
completed | March 7, 2026, 5:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58f511a08190880fbde8900d59df |
completed | March 9, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69ae59a9b010819081491e988184b386 |
completed | March 9, 2026, 5:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5a12f11c81908cc345905f0a485e |
completed | March 9, 2026, 5:26 a.m. |
Created at: March 4, 2026, 7:45 p.m.