Triple
T11882570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Birds |
E282693
|
entity |
| Predicate | numberOfActors |
P102046
|
FINISHED |
| Object | three 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 speaking actors | Statement: [The Birds, numberOfActors, three speaking actors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfActors Context triple: [The Birds, numberOfActors, three speaking actors]
-
A.
numberOfActs
Indicates the total count of discrete acts or actions associated with a given entity or event.
-
B.
numberOfDirectors
Indicates the total count of directors associated with a given entity.
-
C.
composedForNumberOfFilms
Indicates the number of films for which an entity has composed music or a score.
-
D.
originalCast
Indicates that the subject is a member of the initial group of performers or participants who first originated a role or production.
-
E.
majorActor
Indicates that the subject is a primary or leading participant in the action, event, or production involving the object.
- 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_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. |
| PDg | Predicate description generation | batch_69d8d399d58c81908dab572aa82426d7 |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 8, 2026, 9:44 p.m.