Triple
T23969939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarrainodu |
E604200
|
entity |
| Predicate | hasBackgroundScoreBy |
P154077
|
FINISHED |
| Object | S. Thaman |
—
|
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: S. Thaman | Statement: [Sarrainodu, hasBackgroundScoreBy, S. Thaman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBackgroundScoreBy Context triple: [Sarrainodu, hasBackgroundScoreBy, S. Thaman]
-
A.
hasScoreRecord
Indicates that an entity is associated with a specific score entry or scoring record.
-
B.
hasScoreCharacteristic
Indicates that one entity possesses or is associated with a particular scoring-related characteristic or property.
-
C.
hasBackground
Indicates that an entity possesses or is associated with a particular background, such as context, setting, or prior circumstances.
-
D.
isScoreFor
Indicates that one value represents the score or result associated with a particular entity, event, or performance.
-
E.
hasScoredFor
Indicates that one entity has scored points, goals, or similar achievements on behalf of another entity, such as a team, organization, or side.
- 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_69e29543019c8190872462e593cc50b4 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d1db392c8190a1044b75b898243a |
completed | April 29, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f167dca3608190ace9d2eef56b2af6 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 9:25 p.m.