Triple
T17554293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American League president forfeited second game |
E427549
|
entity |
| Predicate | doubleheaderType |
P127900
|
FINISHED |
| Object | twilight-night doubleheader |
—
|
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: twilight-night doubleheader | Statement: [American League president forfeited second game, doubleheaderType, twilight-night doubleheader]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doubleheaderType Context triple: [American League president forfeited second game, doubleheaderType, twilight-night doubleheader]
-
A.
doubleWinner
Indicates that the same entity has won the relevant award, contest, or recognition twice.
-
B.
conferenceMatchupType
Indicates the type or category of matchup between entities within a conference context (e.g., intra-conference vs. inter-conference).
-
C.
finalMatchType
Indicates the specific category or format of the concluding or decisive match in a series or competition.
-
D.
postseasonType
Indicates the specific kind of postseason competition or phase associated with an event or team.
-
E.
careerHighDoublesRanking
Indicates the highest doubles ranking a person has achieved in their professional career.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45620983c81909e71f938ce934efa |
completed | April 19, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fb39948190a82a597c5bac5c57 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb50b448190a59dd4be33c76db7 |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:50 a.m.