Triple
T30181020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Close to Eden |
E767200
|
entity |
| Predicate | mainCharactersEthnicity |
P28254
|
FINISHED |
| Object | Mongolian |
—
|
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: Mongolian | Statement: [Close to Eden, mainCharactersEthnicity, Mongolian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainCharactersEthnicity Context triple: [Close to Eden, mainCharactersEthnicity, Mongolian]
-
A.
protagonistEthnicity
chosen
Indicates the ethnic background or cultural heritage associated with a work’s main character.
-
B.
mainCharactersAre
Indicates that the specified entities serve as the primary or central characters in a narrative or work.
-
C.
hasMainCharacterFrom
Indicates that a work of fiction has a main character who originates from or belongs to a specified place, group, or source.
-
D.
leadActorEthnicity
Indicates the ethnic background or identity of the primary (lead) actor in a work.
-
E.
portrayedByEthnicity
Indicates that an entity is portrayed or represented by someone of a specified ethnic background.
- 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_69f2247ba20c81909d34f2bfed706e1e |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
Created at: April 29, 2026, 7:26 p.m.