Triple
T13804406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Curran |
E331723
|
entity |
| Predicate | hasPartner |
P1136
|
FINISHED |
| Object | Gus Moran |
E1065025
|
NE FINISHED |
How this triple was built (2 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: Gus Moran | Statement: [Nick Curran, hasPartner, Gus Moran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gus Moran Context triple: [Nick Curran, hasPartner, Gus Moran]
-
A.
Gus Moran
chosen
Gus Moran is a seasoned, streetwise San Francisco police detective who serves as Nick Curran’s partner in the neo-noir thriller "Basic Instinct."
-
B.
Johnny Loughran
Johnny Loughran is the energetic, easygoing human who becomes Dracula’s son-in-law and a central comedic character in the Hotel Transylvania animated film series.
-
C.
Frank McHugh
Frank McHugh was an American character actor best known for his prolific work in 1930s and 1940s Hollywood films, often playing comic sidekicks and supporting roles.
-
D.
Eddie Boland
Eddie Boland was an American character actor of the silent and early sound film era, known for his comic supporting roles in numerous Hollywood productions.
-
E.
Arthur O'Connell
Arthur O'Connell was an American character actor known for his supporting roles in mid-20th-century films and stage productions, often portraying kindly or world-weary older men.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026c36108190a7436034a730a261 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a2df73c8190aeb6f472ac7ebeed |
completed | May 8, 2026, 5:52 a.m. |
Created at: April 9, 2026, 10:12 p.m.