Triple
T37256248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MGM cartoon shorts |
E924134
|
entity |
| Predicate | mainEra |
P77920
|
FINISHED |
| Object | Golden Age of American animation |
—
|
NE NERFINISHED |
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: Golden Age of American animation | Statement: [MGM cartoon shorts, mainEra, Golden Age of American animation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainEra Context triple: [MGM cartoon shorts, mainEra, Golden Age of American animation]
-
A.
primaryEraEvaluated
Indicates that an entity has been assessed or analyzed with respect to its main or most relevant historical era or time period.
-
B.
managedEra
Indicates that one entity oversaw, directed, or was responsible for the management of a particular historical or temporal period associated with another entity.
-
C.
partOfEra
Indicates that one entity exists as a temporal segment or component within the duration or scope of a larger historical era.
-
D.
introductionEra
Indicates the historical period or era during which something was first introduced or came into use.
-
E.
hasPrimaryEra
chosen
Indicates that an entity is chiefly associated with or belongs to a particular historical or temporal era.
- 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_69f76eabd6c481909d414a80a1345c98 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb4134225081909fd60703b8cae397 |
completed | May 6, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69fb35bf767081908de8345358ca7f44 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.