Triple
T30614714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiwetel Ejiofor as Solomon Northup |
E779282
|
entity |
| Predicate | settingOfCharacterOrigin |
P173719
|
FINISHED |
| Object | New York |
—
|
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: New York | Statement: [Chiwetel Ejiofor as Solomon Northup, settingOfCharacterOrigin, New York]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfCharacterOrigin Context triple: [Chiwetel Ejiofor as Solomon Northup, settingOfCharacterOrigin, New York]
-
A.
characterOrigin
Indicates the source, background, or initial context from which a character originates.
-
B.
originOfCharacter
Indicates the source or place from which a character originates or is created.
-
C.
basedOnCharacterOrigin
Indicates that one entity is derived from, inspired by, or determined according to the origin or background of a character.
-
D.
protagonistOrigin
Indicates that one entity is the origin, source, or starting point of the protagonist in a narrative or story.
-
E.
settingOfCharacterBackstory
chosen
Indicates the place or environment in which a character’s backstory events occur.
- 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_69f224a3307081909a6dca8ca75dbf48 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
Created at: April 29, 2026, 8:26 p.m.