Triple
T11882502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Comedy |
E282691
|
entity |
| Predicate | numberOfActorsOnStage |
P45649
|
FINISHED |
| Object | three principal speaking actors |
—
|
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: three principal speaking actors | Statement: [Old Comedy, numberOfActorsOnStage, three principal speaking actors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfActorsOnStage Context triple: [Old Comedy, numberOfActorsOnStage, three principal speaking actors]
-
A.
characterCountOnStage
Indicates the number of characters that are present on stage at a given moment in a performance or scene.
-
B.
numberOfPerformers
Indicates the quantity of performers involved in a given event, act, or performance.
-
C.
numberOfActs
Indicates the total count of discrete acts or actions associated with a given entity or event.
-
D.
stageNumber
Indicates the specific sequential position or order of a stage within a multi-stage process or structure.
-
E.
numberOfMainPerformers
chosen
Indicates the count of primary performers involved in a performance or event.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d39d2934819093b9f7006f45e5cb |
completed | April 10, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69d8bb272f88819090c37c944c5a60ab |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.