Triple
T9743857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viswanathan Anand |
E236257
|
entity |
| Predicate | yearAwardedGrandmasterTitle |
P90461
|
FINISHED |
| Object | 1988 |
—
|
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: 1988 | Statement: [Viswanathan Anand, yearAwardedGrandmasterTitle, 1988]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearAwardedGrandmasterTitle Context triple: [Viswanathan Anand, yearAwardedGrandmasterTitle, 1988]
-
A.
formerGrandMaster
Indicates that a person once held the title of Grand Master but no longer holds that position.
-
B.
RussianChampionshipWinner
Indicates that the subject is the winner of a Russian national championship in a specified field or competition.
-
C.
currentGrandMaster
Indicates that one entity is the person who currently holds the title of grand master (e.g., in a game, sport, or organization) with respect to another entity.
-
D.
championPreviousTitleYear
Indicates the year in which the current champion previously held the same title.
-
E.
yearOfWin
Indicates the specific calendar year in which an entity achieved a particular victory or win.
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f2e5bb081908047e3bf5fe3991c |
completed | April 1, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69cd03cc128c81908b84ef224f858b4e |
completed | April 1, 2026, 11:38 a.m. |
| PDg | Predicate description generation | batch_69cd06aa8bc88190904be19c8953def8 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:23 p.m.