Triple
T7211725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercury KX |
E149419
|
entity |
| Predicate | notableArtist |
P601
|
FINISHED |
| Object | Dustin O’Halloran |
E211229
|
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: Dustin O’Halloran | Statement: [Mercury KX, notableArtist, Dustin O’Halloran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dustin O’Halloran Context triple: [Mercury KX, notableArtist, Dustin O’Halloran]
-
A.
Dustin O’Halloran
chosen
Dustin O’Halloran is an American pianist and composer known for his emotive solo piano works and acclaimed film and television scores.
-
B.
Luke Doolan
Luke Doolan is an Australian film editor and filmmaker best known for his work on acclaimed films such as "Animal Kingdom."
-
C.
Evan Daugherty
Evan Daugherty is an American screenwriter best known for his work on major Hollywood films such as "Snow White and the Huntsman," "Divergent," and "Teenage Mutant Ninja Turtles."
-
D.
Dylan McLaughlin
Dylan McLaughlin is an American former child actor best known for his roles in family comedies and dramas in the early 2000s.
-
E.
Liam O’Connor
Liam O’Connor is a British architect best known for designing prominent public memorials, including the Bomber Command Memorial in London.
- 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_69c687eca814819095abb52316b1af80 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e96f99088190a085476bcfca26fd |
completed | March 27, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db066aec8190a1193cbb3b6a8349 |
completed | March 28, 2026, 1:43 p.m. |
Created at: March 27, 2026, 2:53 p.m.