Triple
T13072272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hooligans |
E329484
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
James King
James King is a musician best known as a member of Bruno Mars's backing band, The Hooligans.
|
E1020999
|
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: James King | Statement: [The Hooligans, hasMember, James King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James King Context triple: [The Hooligans, hasMember, James King]
-
A.
James King
James King was an 18th-century British naval officer and explorer who helped complete and edit the published account of Captain James Cook’s final Pacific voyage.
-
B.
James King
James King is the wealthy, naive investment banker portrayed by Will Ferrell in the comedy film "Get Hard," who must prepare for an impending prison sentence with the help of his car washer.
-
C.
Edward King
Edward King is a writer best known for authoring the work associated with the title "All Summer Long."
-
D.
Cyril Emmanuel King
Cyril Emmanuel King was a prominent U.S. Virgin Islands politician who served as the territory’s second elected governor in the 1970s.
-
E.
Robert King
Robert King is an American television writer and producer best known for co-creating the acclaimed legal and political drama series "The Good Wife."
- 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: James King Triple: [The Hooligans, hasMember, James King]
Generated description
James King is a musician best known as a member of Bruno Mars's backing band, The Hooligans.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: James King Target entity description: James King is a musician best known as a member of Bruno Mars's backing band, The Hooligans.
-
A.
James King
James King was an 18th-century British naval officer and explorer who helped complete and edit the published account of Captain James Cook’s final Pacific voyage.
-
B.
James King
James King is the wealthy, naive investment banker portrayed by Will Ferrell in the comedy film "Get Hard," who must prepare for an impending prison sentence with the help of his car washer.
-
C.
Edward King
Edward King is a writer best known for authoring the work associated with the title "All Summer Long."
-
D.
Cyril Emmanuel King
Cyril Emmanuel King was a prominent U.S. Virgin Islands politician who served as the territory’s second elected governor in the 1970s.
-
E.
Robert King
Robert King is an American television writer and producer best known for co-creating the acclaimed legal and political drama series "The Good Wife."
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d981160e388190bab942a2ded2903e |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d606ac6481908d18a288d5eed472 |
completed | May 3, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69f6dae595908190b27980e48514cda5 |
completed | May 3, 2026, 5:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6db8f68a4819091d8e67d9c8eec81 |
completed | May 3, 2026, 5:22 a.m. |
Created at: April 9, 2026, 9 p.m.