Triple
T2112644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aeschylus |
E42537
|
entity |
| Predicate | numberOfKnownPlays |
P34848
|
FINISHED |
| Object | around 70 to 90 |
—
|
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: around 70 to 90 | Statement: [Aeschylus, numberOfKnownPlays, around 70 to 90]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfKnownPlays Context triple: [Aeschylus, numberOfKnownPlays, around 70 to 90]
-
A.
inningsPlayed
Indicates the number of innings in which an entity (typically a player or team) has participated during a game or season.
-
B.
numberOfPitches
Indicates the total count of pitches involved in a given event, performance, or musical segment.
-
C.
numberOfDraws
Indicates the total count of times an event, game, or contest has ended in a draw or tie.
-
D.
numberOfMovements
Indicates the total count of distinct movements or motion events associated with the given entity or context.
-
E.
gamesPlayed
Indicates the number or set of games that an entity has participated in or completed.
- 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_69a8871040f08190aac2e2d0ab6b47ad |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb0495d0819097dc936540743b74 |
completed | March 7, 2026, 5:43 a.m. |
| PD | Predicate disambiguation | batch_69abb7ba08948190a3c236bb53ee4257 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb85fe7a08190b991b1f23bc34f93 |
completed | March 7, 2026, 5:32 a.m. |
Created at: March 4, 2026, 7:43 p.m.