Triple
T35571483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chess |
E1027950
|
entity |
| Predicate | hasSecondMover |
P201740
|
FINISHED |
| Object | Black |
—
|
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: Black | Statement: [Chess, hasSecondMover, Black]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecondMover Context triple: [Chess, hasSecondMover, Black]
-
A.
hasSecond
Indicates that one entity is the second item, position, or element in an ordered sequence or pair relative to another entity.
-
B.
hasSecondary
Indicates that an entity is associated with an additional or subordinate counterpart beyond its primary one.
-
C.
isSecondPilotOf
Indicates that one entity serves as the co-pilot or secondary pilot for another entity, typically an aircraft or flight.
-
D.
hasSecondaryProtagonist
Indicates that an entity (such as a work of fiction) features another character who serves as a secondary or supporting main protagonist alongside the primary one.
-
E.
secondMovementNickname
Indicates that a specific nickname or descriptive title is associated with the second movement of a musical work.
- 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_69f76e0386688190b931bacdc145938c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a0019b0e9fc81909494320f05e81742 |
completed | May 10, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_6a00193379e0819096d1985686ce10e3 |
completed | May 10, 2026, 5:35 a.m. |
| PDg | Predicate description generation | batch_6a0019b009a481908d09ef90b693a466 |
completed | May 10, 2026, 5:37 a.m. |
Created at: May 3, 2026, 4:04 p.m.