Triple
T22101240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Titfield Thunderbolt |
E546175
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Hugh Griffith |
—
|
NE NERFINISHED |
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: Hugh Griffith | Statement: [The Titfield Thunderbolt, stars, Hugh Griffith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hugh Griffith Context triple: [The Titfield Thunderbolt, stars, Hugh Griffith]
-
A.
Hugh Griffith
chosen
Hugh Griffith was a Welsh character actor best known for his exuberant, scene-stealing performances in mid-20th-century British and American films, including his Oscar-winning role in "Ben-Hur."
-
B.
Guy Moore
Guy Moore is a film editor known for his work on the James Bond movie "Tomorrow Never Dies."
-
C.
Rupert Davies
Rupert Davies was a British actor best known for his portrayal of Inspector Maigret in the 1960s television series "Maigret."
-
D.
Joss Ackland
Joss Ackland is a distinguished English actor known for his extensive film, television, and stage career, often portraying authoritative or villainous characters.
-
E.
Bernard Miles
Bernard Miles was an English character actor, writer, and director known for his work in British film and theatre, and for founding the Mermaid Theatre in London.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291501508190ad5689be5abb2ba6 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.