Triple
T38611443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memoirs of Henri Charrière |
E934491
|
entity |
| Predicate | basisForCharacter |
P40451
|
FINISHED |
| Object | Papillon in film adaptations |
—
|
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: Papillon in film adaptations | Statement: [Memoirs of Henri Charrière, basisForCharacter, Papillon in film adaptations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basisForCharacter Context triple: [Memoirs of Henri Charrière, basisForCharacter, Papillon in film adaptations]
-
A.
basedOnCharacterBy
Indicates that one work, adaptation, or portrayal is derived from or inspired by a character created by another entity.
-
B.
characterBasedOn
Indicates that one character is modeled, inspired, or derived from another real or fictional entity.
-
C.
characterBasedIn
Indicates that a fictional character is primarily located, resides, or operates in a particular place or setting.
-
D.
supportBaseCharacterization
chosen
Indicates that one entity provides justification or foundational evidence for how another entity is characterized or described.
-
E.
allyOfCharacter
Indicates that one character maintains an alliance or supportive partnership with another character.
- 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_69f76eccd6d081909ccce171011739a1 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.