Triple
T689639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luca Firth |
E13362
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Luca Firth |
E13362
|
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: Luca Firth | Statement: [Luca Firth, name, Luca Firth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luca Firth Context triple: [Luca Firth, name, Luca Firth]
-
A.
Luca Firth
chosen
Luca Firth is one of British actor Colin Firth’s sons, known primarily for his connection to the acclaimed performer.
-
B.
Marcus Mumford
Marcus Mumford is a British-American singer-songwriter best known as the lead vocalist and multi-instrumentalist of the folk-rock band Mumford & Sons.
-
C.
Christopher Spelman
Christopher Spelman is a film composer best known for scoring movies such as "The Lost City of Z."
-
D.
John Butler
John Butler was a prominent Loyalist military leader during the American Revolutionary War, best known for commanding Butler's Rangers in frontier campaigns against American revolutionaries.
-
E.
Michael Coulter
Michael Coulter is a British cinematographer known for his work on popular films including the romantic comedy "Love Actually."
- 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a09669e4819089753204772e1fdd |
completed | March 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a64a53c068819089e66347da55710b |
completed | March 3, 2026, 2:41 a.m. |
Created at: March 1, 2026, 7:36 p.m.