Triple
T20254740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ten Canoes |
E498656
|
entity |
| Predicate | hasComposer |
P1361
|
FINISHED |
| Object | Liam Egan |
—
|
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: Liam Egan | Statement: [Ten Canoes, hasComposer, Liam Egan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liam Egan Context triple: [Ten Canoes, hasComposer, Liam Egan]
-
A.
Liam Egan
chosen
Liam Egan is a composer best known for creating the musical score for the Australian film "Ten Canoes."
-
B.
Liam Garrigan
Liam Garrigan is a British actor known for his roles in film and television, including portraying King Arthur in "Transformers: The Last Knight" and Prince Charming in the series "Once Upon a Time."
-
C.
Liam Lonergan
Liam Lonergan is an Irish businessman best known as one of the founders of the low-cost airline Ryanair.
-
D.
Liam Titcomb
Liam Titcomb is a Canadian singer-songwriter and multi-instrumentalist known for his folk-pop music and work in television soundtracks.
-
E.
Liam Hayes
Liam Hayes is an American singer-songwriter and multi-instrumentalist known for his lush, orchestrated pop music released under the name Plush.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673ab60388190be32cc69bf2b6f76 |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 11, 2026, 11:41 p.m.