Triple
T22074451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polly Umrigar |
E545487
|
entity |
| Predicate | matchesPlayedInTest |
P102804
|
FINISHED |
| Object | 59 |
—
|
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: 59 | Statement: [Polly Umrigar, matchesPlayedInTest, 59]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: matchesPlayedInTest Context triple: [Polly Umrigar, matchesPlayedInTest, 59]
-
A.
numberOfTestMatches
chosen
Indicates the total count of test matches associated with a given entity (such as a player, team, or series) in the relationship.
-
B.
matchesPlayedIn
Indicates that a particular match was played in a specified location, event, or competition context.
-
C.
totalMatchesPlayed
Indicates the total number of matches that have been played by the referenced entity or between the related entities.
-
D.
playsTestMatchesAgainst
Indicates that one entity participates in test cricket matches as an opponent against another entity.
-
E.
matchesPlayedAs
Indicates that a certain number of matches were played with a specific role, configuration, or context.
- F. None of above.
Provenance (3 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1288affb081908b64742f7bf467fa |
completed | April 28, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69e6f64a6a70819089d1a6c3a2384861 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:28 p.m.