Triple
T15696463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burngood, Inc. |
E380472
|
entity |
| Predicate | associatedProductionEra |
P120335
|
FINISHED |
| Object | 1960s American television |
—
|
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: 1960s American television | Statement: [Burngood, Inc., associatedProductionEra, 1960s American television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedProductionEra Context triple: [Burngood, Inc., associatedProductionEra, 1960s American television]
-
A.
notableSeriesEra
Indicates the historical period or era during which a series is notably set, produced, or most prominently recognized.
-
B.
partOfEra
Indicates that one entity exists as a temporal segment or component within the duration or scope of a larger historical era.
-
C.
recordingEra
Indicates the historical time period or era during which the recording was made.
-
D.
creatorEra
Indicates the historical period or era during which the creator of an entity was active or produced the entity.
-
E.
appliesToEra
Indicates that something is relevant, valid, or in effect during a particular historical or temporal era.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0051d639481909a10614e8f83e659 |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e0b4d01c9c81909f6b611e8144c838 |
completed | April 16, 2026, 10:07 a.m. |
Created at: April 10, 2026, 4:44 a.m.