Triple
T15600402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Trouble in Little China |
E375014
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Alan Howarth |
E509176
|
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: Alan Howarth | Statement: [Big Trouble in Little China, musicBy, Alan Howarth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan Howarth Context triple: [Big Trouble in Little China, musicBy, Alan Howarth]
-
A.
Alan Howarth
chosen
Alan Howarth is an American composer and sound designer best known for co-creating and expanding the iconic synthesizer-driven scores of many John Carpenter horror and science fiction films.
-
B.
Dennis Awtrey
Dennis Awtrey is a former American professional basketball center known for his defensive play and role as a key contributor on several NBA teams during the 1970s and early 1980s.
-
C.
Alan Meade
Alan Meade is a musician best known as an early former member of the American rock band No Doubt.
-
D.
Ian Dunn
Ian Dunn is a British actor known for his work in television, film, and theatre, and for being married to the late actress Emma Chambers.
-
E.
Karl Howman
Karl Howman is a British actor best known for his television work in series such as "Brush Strokes" and "Mulberry."
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e621fc4819097e8e85e7ddfdc6c |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009183a94081909c5892b1ccbc1d7a |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 4:12 a.m.