Triple
T28177418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Centaurs |
E715931
|
entity |
| Predicate | Tony MeolaRole |
P164572
|
FINISHED |
| Object | goalkeeper |
—
|
LITERAL 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: goalkeeper | Statement: [New York Centaurs, Tony MeolaRole, goalkeeper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Tony MeolaRole Context triple: [New York Centaurs, Tony MeolaRole, goalkeeper]
-
A.
Brian NiccolRole
Indicates that a specified role or position is held by, associated with, or pertains to Brian Niccol.
-
B.
RobMorrowRole
Indicates that a person has played a specific role in a work featuring Rob Morrow.
-
C.
roleOfMelvinBenn
Indicates that the specified entity holds or is assigned the role or position associated with Melvin Benn.
-
D.
Dan HartRole
Indicates that Dan Hart holds or performs a specific role, position, or function in relation to another entity or context.
-
E.
Michael B. OlbrichRole
Indicates the specific role, position, or function that Michael B. Olbrich holds or performs in relation to another entity or context.
- F. None of above. chosen
Provenance (4 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_69efd6b4fc5c81909dd88f01a8c2b35d |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f64e6e8c9081908ce4d364aa26147a |
completed | May 2, 2026, 7:20 p.m. |
| PD | Predicate disambiguation | batch_69f64cacd2c08190aed8a1761d0da679 |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64db8ee1881909362701d72ffe282 |
completed | May 2, 2026, 7:17 p.m. |
Created at: April 27, 2026, 10:17 p.m.