Triple
T32025017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aruna Anand |
E817793
|
entity |
| Predicate | marriedToChessPlayer |
P191704
|
FINISHED |
| Object | Viswanathan Anand |
—
|
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: Viswanathan Anand | Statement: [Aruna Anand, marriedToChessPlayer, Viswanathan Anand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriedToChessPlayer Context triple: [Aruna Anand, marriedToChessPlayer, Viswanathan Anand]
-
A.
spouseOfSportsFigure
Indicates a marital relationship where one person is the spouse of a sports figure.
-
B.
marriedToBeforeFameOf
Indicates that one person was married to another person before the latter became famous.
-
C.
marriedToPainter
Indicates that one entity is married to another entity who is a painter.
-
D.
marriedBy
Indicates that one entity is the officiant or authority who performs and formalizes the marriage of another entity.
-
E.
marriedToBusinessperson
Indicates that one entity is married to another entity who is a businessperson.
- 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_69f348fb04e4819081f4eab040ed7959 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69fce76669408190b1beef8899a8a5e2 |
completed | May 7, 2026, 7:26 p.m. |
Created at: May 1, 2026, 12:17 a.m.