Triple
T25781539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1985 Cy Young Award season |
E649302
|
entity |
| Predicate | DwightGooden_losses |
P160685
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [1985 Cy Young Award season, DwightGooden_losses, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DwightGooden_losses Context triple: [1985 Cy Young Award season, DwightGooden_losses, 4]
-
A.
careerLosses
Indicates the total number of defeats or losses an entity has accumulated over the course of its entire career.
-
B.
mostGamesLostBy
Indicates that one entity holds the record for having lost the greatest number of games to another entity.
-
C.
gamesLostBy
Indicates the number of games that one entity has been defeated in by another entity.
-
D.
regularSeasonLosses
Indicates the number of games a team lost during the regular season portion of a competition or league.
-
E.
managerialLossesMLB
Indicates the number of games a manager has lost while managing a Major League Baseball team.
- 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_69e7ab333b508190b6d708d8d9a328ed |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f60459a53c8190bbd90e80890eebcd |
completed | May 2, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f603b90c94819088d62cb9489e95ff |
completed | May 2, 2026, 2:01 p.m. |
Created at: April 22, 2026, 5:38 a.m.