Triple
T15793961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deep Blue |
E382927
|
entity |
| Predicate | previousMatchYear |
P120040
|
FINISHED |
| Object | 1996 |
—
|
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: 1996 | Statement: [Deep Blue, previousMatchYear, 1996]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousMatchYear Context triple: [Deep Blue, previousMatchYear, 1996]
-
A.
previousSeason
Indicates that one season directly precedes another in chronological order within the same series or competition.
-
B.
previousElectionYear
Indicates the year in which the immediately preceding election for the same office, position, or body took place.
-
C.
previousRecordSeason
Indicates that one season directly precedes another season in a chronological record or sequence.
-
D.
previousMajorRevisionYear
Indicates the calendar year in which the immediately preceding major revision or version of an item was released or finalized.
-
E.
previousChampionship
Indicates that one entity held a championship title immediately before another entity in a sequence of championships.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4db55308190875a04f982c44cea |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e00537bd1c81908d6e832792fd934f |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e006b17f7881908b8c7a37f0af4581 |
completed | April 15, 2026, 9:44 p.m. |
Created at: April 10, 2026, 4:48 a.m.