Triple
T9802392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chow Yun-fat |
E237870
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Killer |
E821780
|
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: The Killer | Statement: [Chow Yun-fat, notableWork, The Killer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Killer Context triple: [Chow Yun-fat, notableWork, The Killer]
-
A.
The Killer
chosen
The Killer is a 1989 Hong Kong action film renowned for its stylized gunplay, emotional depth, and influential blend of heroic bloodshed and crime drama.
-
B.
The Killer
The Killer is the famous nickname of rock and roll pioneer Jerry Lee Lewis, known for his wild piano performances and energetic stage presence.
-
C.
Killer
Killer is the nickname of Harmon Killebrew, a Hall of Fame Major League Baseball slugger renowned for his prodigious home run power, primarily with the Minnesota Twins.
-
D.
Killer
Killer is the nickname of Doug Gilmour, a Hall of Fame Canadian ice hockey player renowned for his gritty two-way play and leadership in the NHL.
-
E.
Killer
"Killer" is a 1990 dance track by British producer Adamski, best known for its distinctive house beat and Seal's uncredited vocals, which became a major hit in the UK and Europe.
- 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda62b41048190bcef70a7591830c6 |
completed | April 1, 2026, 11:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e410df4081909e1b03f46e9ca42a |
completed | April 5, 2026, 4:24 a.m. |
Created at: March 30, 2026, 8:29 p.m.