Triple
T24300459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Damson Idris |
E606079
|
entity |
| Predicate | characterEraOfFranklinSaint |
P116916
|
FINISHED |
| Object | 1980s |
—
|
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: 1980s | Statement: [Damson Idris, characterEraOfFranklinSaint, 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterEraOfFranklinSaint Context triple: [Damson Idris, characterEraOfFranklinSaint, 1980s]
-
A.
depictedPersonEra
chosen
Indicates the historical era or time period associated with the person depicted in an image or representation.
-
B.
constitutionalEraName
Indicates the named historical or political era associated with a particular constitution or constitutional regime.
-
C.
franchiseEra
Indicates the specific historical or operational period within which a franchise’s activities, rights, or identity are defined.
-
D.
livedInEra
Indicates that an entity existed or was active during a particular historical era or time period.
-
E.
creatorEra
Indicates the historical period or era during which the creator of an entity was active or produced the entity.
- 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_69e29549335881909cbf27adcaba1cf0 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f2915e4ffc8190bf711dae443b3ec1 |
completed | April 29, 2026, 11:16 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 12:09 a.m.