Triple
T5006475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA Comeback Player of the Year |
E112505
|
entity |
| Predicate | firstSeasonAwardedYear |
P14850
|
FINISHED |
| Object | 1970 |
—
|
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: 1970 | Statement: [NBA Comeback Player of the Year, firstSeasonAwardedYear, 1970]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSeasonAwardedYear Context triple: [NBA Comeback Player of the Year, firstSeasonAwardedYear, 1970]
-
A.
initialAwardYear
Indicates the year in which an entity first received a particular award.
-
B.
firstAwarded
Indicates the time or occasion when an award, honor, or recognition was given for the very first time.
-
C.
firstWinnerYear
chosen
Indicates the year in which an entity first won a particular competition, award, or title.
-
D.
firstSeriesYear
Indicates the year in which a series (such as a TV show, book series, or sports league season) first began or was initially released.
-
E.
firstEpisodeSettingYear
Indicates the calendar year in which the first episode of a series or show is set.
- 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_69bd4433d0b08190877e83959ef40d81 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714cbc448190aa53a8a83d768b64 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:35 p.m.