Triple
T16878298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Chieftains |
E421353
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Matt Molloy |
—
|
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: Matt Molloy | Statement: [The Chieftains, hasMember, Matt Molloy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Molloy Context triple: [The Chieftains, hasMember, Matt Molloy]
-
A.
Matt Molloy
chosen
Matt Molloy is an acclaimed Irish flautist best known for his work with the traditional supergroup The Chieftains and his influential role in modern Irish folk music.
-
B.
Mike Molloy
Mike Molloy is a cinematographer best known for his work on the British crime film "The Hit."
-
C.
Brian Molloy
Brian Molloy is an Irish music industry figure best known as the founder of Dublin’s renowned Windmill Lane Studios, where many iconic recordings have been made.
-
D.
Andy Loughnane
Andy Loughnane is a sports business executive known for leading the front-office and business operations of Major League Soccer club Austin FC.
-
E.
Michael McElroy
Michael McElroy is an American actor and Tony-nominated Broadway performer known for his work in musical theatre and film.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f8a1d48190ad829f86e235a1d0 |
completed | April 18, 2026, 4:57 p.m. |
Created at: April 10, 2026, 5:29 a.m.