Triple
T8544715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barcelona |
E202288
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Mike Moran |
E395762
|
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: Mike Moran | Statement: [Barcelona, producer, Mike Moran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Moran Context triple: [Barcelona, producer, Mike Moran]
-
A.
Mike Moran
chosen
Mike Moran is a British composer, arranger, and keyboardist known for his work on film scores, television music, and collaborations with prominent artists.
-
B.
Mike Flaherty
Mike Flaherty is the fast-talking, politically savvy deputy mayor of New York City and central character played by Michael J. Fox on the sitcom "Spin City."
-
C.
Kevin O'Connor
Kevin O'Connor is an American entrepreneur best known as the co-founder and former CEO of the online advertising company DoubleClick.
-
D.
Mark McGann
Mark McGann is an English actor and director known for his work in television, film, and theatre, and as one of the four acting McGann brothers.
-
E.
Tom Maher
Tom Maher is an accomplished Australian basketball coach renowned for leading multiple national women’s teams at the Olympics and coaching professionally in leagues such as the WNBA.
- 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6e4e21c8190afcbca73713a5fa8 |
completed | March 31, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6db3eef08190934f5b42807ad769 |
completed | April 2, 2026, 1:23 p.m. |
Created at: March 30, 2026, 6:18 p.m.