Triple
T34768023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Chute |
E1002272
|
entity |
| Predicate | hasNarratorNationality |
P104713
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [La Chute, hasNarratorNationality, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNarratorNationality Context triple: [La Chute, hasNarratorNationality, French]
-
A.
narratorNationality
chosen
Indicates that the subject is the country or nationality to which the narrator of a work belongs.
-
B.
nationalityInStory
Indicates that a character or entity in a narrative is associated with a particular nationality within the context of that story.
-
C.
hasNarratorGender
Indicates that a narrative work is associated with a narrator whose gender is specified.
-
D.
hasTranslatorNationality
Indicates that the nationality of the translator of a work or text is a specified country or cultural affiliation.
-
E.
scenarioWriterNationality
Indicates that a given scenario writer has a particular nationality.
- 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_69f76db20dac8190b1e8d0ca4dc1d59f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ff1f3f94fc819095955299f50ab4ce |
completed | May 9, 2026, 11:49 a.m. |
| PD | Predicate disambiguation | batch_69ff1ea47748819082f63d9b9d9c3e65 |
completed | May 9, 2026, 11:46 a.m. |
Created at: May 3, 2026, 3:59 p.m.