Triple
T34584280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olivia de Havilland: Lady Triumphant (French edition translator/agent role) |
E887999
|
entity |
| Predicate | hasTranslatorOrAgent |
P200225
|
FINISHED |
| Object | Gisèle Galante |
—
|
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: Gisèle Galante | Statement: [Olivia de Havilland: Lady Triumphant (French edition translator/agent role), hasTranslatorOrAgent, Gisèle Galante]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTranslatorOrAgent Context triple: [Olivia de Havilland: Lady Triumphant (French edition translator/agent role), hasTranslatorOrAgent, Gisèle Galante]
-
A.
hasWorkTranslatedBy
Indicates that a work has been rendered into another language or form by a specific translator.
-
B.
hasTranslation
Indicates that one entity is a translation or translated version of another entity in a different language.
-
C.
hasWorkTranslated
Indicates that a work has been rendered into another language or form by a translator.
-
D.
hasTranslated
Indicates that one entity has rendered the content of another entity from one language into a different language.
-
E.
isTranslatedBy
Indicates that one entity serves as the translator or translating agent responsible for rendering the content of another entity into a different language or form.
- 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_69f349d25cbc8190869998de5915886b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff7bc112088190851501fb2a16103d |
completed | May 9, 2026, 6:24 p.m. |
| PD | Predicate disambiguation | batch_69ff7b45507c81909753866ad733601a |
completed | May 9, 2026, 6:21 p.m. |
| PDg | Predicate description generation | batch_69ff7bbfa4b08190b11e84861706b349 |
completed | May 9, 2026, 6:23 p.m. |
Created at: May 1, 2026, 2:03 a.m.