Triple
T29240109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albertine Simonet |
E741295
|
entity |
| Predicate | firstMeetsNarratorAt |
P202681
|
FINISHED |
| Object | Balbec |
—
|
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: Balbec | Statement: [Albertine Simonet, firstMeetsNarratorAt, Balbec]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMeetsNarratorAt Context triple: [Albertine Simonet, firstMeetsNarratorAt, Balbec]
-
A.
narratorOf
Indicates that one entity serves as the narrator or storytelling voice for another entity, such as a text, story, or media work.
-
B.
narratorIn
Indicates that one entity serves as the narrator or storytelling voice within the context of another entity (such as a work, scene, or narrative segment).
-
C.
narratorStatus
Indicates the role or condition of the narrator in relation to the described narrative or event.
-
D.
hasCoNarrator
Indicates that two or more entities share the role of narrating the same work, event, or story together.
-
E.
hasNarratorLineage
Indicates that one entity serves as the narrative ancestor or source from which another entity’s story, perspective, or narration is derived.
- 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_69f0911dd6fc819097d1abb287016489 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_6a00acf86e4081909aad9356650e0f79 |
completed | May 10, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_6a00ac813fd08190a0a7782609e74e70 |
completed | May 10, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_6a00acf7923c819091ae7fbda05164f6 |
completed | May 10, 2026, 4:06 p.m. |
Created at: April 28, 2026, 12:30 p.m.