Triple
T3174637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WNBA Rookie of the Year Award |
E66431
|
entity |
| Predicate | rookieDefinition |
P45639
|
FINISHED |
| Object | first WNBA season |
—
|
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: first WNBA season | Statement: [WNBA Rookie of the Year Award, rookieDefinition, first WNBA season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rookieDefinition Context triple: [WNBA Rookie of the Year Award, rookieDefinition, first WNBA season]
-
A.
RookieOfTheYearYear
Indicates that the specified year is the season in which the entity was awarded the Rookie of the Year honor.
-
B.
sharedRookieOfTheYearWith
Indicates that two entities were both awarded Rookie of the Year in the same season or context.
-
C.
rukus
Indicates that an entity is associated with or participates in a disturbance, commotion, or noisy disruptive event involving another entity.
-
D.
retired
Indicates that an entity has permanently stopped working in their former occupation or role, typically after reaching a certain age or service duration.
-
E.
role
Indicates the function, position, or responsibility that one entity holds in relation to another within a given context.
- 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_69ad8586a34c8190944c63ec11a8de1a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada670c800819098937783e2b05c7a |
completed | March 8, 2026, 4:40 p.m. |
| PD | Predicate disambiguation | batch_69ad9e02677c8190a21d93b1259b2761 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f7c21c819087e9992f5fe30a37 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:06 p.m.