Triple
T35426696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milner-Barry Gambit in the French Defence |
E1023939
|
entity |
| Predicate | belongsToOpening |
P200626
|
FINISHED |
| Object | French Defence |
—
|
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: French Defence | Statement: [Milner-Barry Gambit in the French Defence, belongsToOpening, French Defence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToOpening Context triple: [Milner-Barry Gambit in the French Defence, belongsToOpening, French Defence]
-
A.
belongsToUN
Indicates that an entity is a member of, or formally affiliated with, the United Nations.
-
B.
belongsToUnion
Indicates that an entity is a member of, or affiliated with, a specific union organization.
-
C.
openedRelationsWith
Indicates that one entity initiated or established formal relations or interactions with another entity.
-
D.
belongsToCru
Indicates that one entity is a member of, or affiliated with, a specific crew or organizational unit.
-
E.
openedInConnectionWith
Indicates that one entity was opened as a direct result of, or in association with, another specific event, action, or entity.
- 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_69f76df6704081909900c60be10d5849 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff9bed58dc8190a204816d4ed6c32c |
completed | May 9, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69ff9b69653c81908ab0d88055a66a88 |
completed | May 9, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69ff9bec9d748190869caebf6bf0c78f |
completed | May 9, 2026, 8:41 p.m. |
Created at: May 3, 2026, 4:03 p.m.