Triple
T17247478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Only Fools and Horses |
E418664
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object | Trigger |
E733541
|
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: Trigger | Statement: [Only Fools and Horses, hasMainCharacter, Trigger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trigger Context triple: [Only Fools and Horses, hasMainCharacter, Trigger]
-
A.
Trigger
Trigger was the famous golden palomino horse best known as Roy Rogers’ iconic movie and television mount in mid-20th-century Westerns.
-
B.
Trigger
Trigger is a Canadian drama film featuring Molly Parker in a leading role.
-
C.
Trigger
chosen
Trigger is a dim-witted yet lovable road sweeper from the British sitcom "Only Fools and Horses," known for his deadpan delivery and iconic broom joke.
-
D.
Trigger Happy
Trigger Happy is a manic, gun-slinging gremlin Skylander known for his wild personality and rapid-fire golden pistols in the Skylanders video game series.
-
E.
Trace
Trace is a large-scale installation by Chinese artist Ai Weiwei composed of thousands of LEGO portraits depicting political prisoners and activists from around the world.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e24a4508190bbcc70c36b2b9c13 |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170f744d8819099f10bbba364586d |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.