Triple
T4739959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dick Howser |
E105213
|
entity |
| Predicate | leaguePennantWon |
P58500
|
FINISHED |
| Object | 1985 American League pennant |
—
|
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: 1985 American League pennant | Statement: [Dick Howser, leaguePennantWon, 1985 American League pennant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leaguePennantWon Context triple: [Dick Howser, leaguePennantWon, 1985 American League pennant]
-
A.
leaguePennant
Indicates that a team has won the championship pennant for a particular league or season.
-
B.
leaguePennants
Indicates that a team has won a specified number of league pennants (championship titles) in a particular league.
-
C.
wonPennantIn
Indicates that a team secured the league pennant in a specified season or year.
-
D.
runnerUpLeaguePennantWinner
Indicates that a team finished second in its league while another team won the league pennant.
-
E.
leaguePennantYear
Indicates the specific year in which a league pennant (championship title) was won or awarded.
- 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_69bd43ef87a48190a5bc3600711aa032 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6486f8608190908e43b777810c44 |
completed | March 20, 2026, 3:15 p.m. |
| PD | Predicate disambiguation | batch_69bd6221c3b881908604f35f8de6f16b |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd637e19e081909e415544106c7835 |
completed | March 20, 2026, 3:10 p.m. |
Created at: March 20, 2026, 1:19 p.m.