Triple
T11023071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heywood Gould |
E260540
|
entity |
| Predicate | directedFilm |
P13455
|
FINISHED |
| Object |
Double Bang
Double Bang is a crime drama film directed by Heywood Gould that follows a morally conflicted cop entangled in corruption and murder.
|
E900408
|
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: Double Bang | Statement: [Heywood Gould, directedFilm, Double Bang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Double Bang Context triple: [Heywood Gould, directedFilm, Double Bang]
-
A.
Bang Bang
"Bang Bang" is a politically charged punk rock song by Green Day from their album "Revolution Radio."
-
B.
Bang Bang
"Bang Bang" is a 2014 pop/R&B hit single by Jessie J, Ariana Grande, and Nicki Minaj known for its powerful vocals and energetic, brass-driven production.
-
C.
Double Shot
Double Shot is a high-thrill drop tower ride known for launching riders rapidly up and down to create intense moments of weightlessness.
-
D.
She Bangs
"She Bangs" is a 2000 Latin pop and dance hit by Ricky Martin known for its energetic rhythm, brassy production, and widespread international success.
-
E.
Boom Boom
"Boom Boom" is a classic 1961 electric blues song by John Lee Hooker that became one of his most famous and frequently covered recordings.
- 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: Double Bang Triple: [Heywood Gould, directedFilm, Double Bang]
Generated description
Double Bang is a crime drama film directed by Heywood Gould that follows a morally conflicted cop entangled in corruption and murder.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Double Bang Target entity description: Double Bang is a crime drama film directed by Heywood Gould that follows a morally conflicted cop entangled in corruption and murder.
-
A.
Bang Bang
"Bang Bang" is a politically charged punk rock song by Green Day from their album "Revolution Radio."
-
B.
Bang Bang
"Bang Bang" is a 2014 pop/R&B hit single by Jessie J, Ariana Grande, and Nicki Minaj known for its powerful vocals and energetic, brass-driven production.
-
C.
Double Shot
Double Shot is a high-thrill drop tower ride known for launching riders rapidly up and down to create intense moments of weightlessness.
-
D.
She Bangs
"She Bangs" is a 2000 Latin pop and dance hit by Ricky Martin known for its energetic rhythm, brassy production, and widespread international success.
-
E.
Boom Boom
"Boom Boom" is a classic 1961 electric blues song by John Lee Hooker that became one of his most famous and frequently covered recordings.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797bd88188190a644adc9283cabb8 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3750917d481909e73de0bfae27827 |
completed | April 18, 2026, 12:11 p.m. |
| NEDg | Description generation | batch_69e37ab860f48190808ba0076cfa9c98 |
completed | April 18, 2026, 12:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3864dd0d48190b3fd81381f5d7418 |
completed | April 18, 2026, 1:25 p.m. |
Created at: April 8, 2026, 9:25 p.m.