Triple
T27234412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Petit Vingtième |
E682235
|
entity |
| Predicate | originallyPublishedCharacter |
P104925
|
FINISHED |
| Object | Tintin |
—
|
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: Tintin | Statement: [Le Petit Vingtième, originallyPublishedCharacter, Tintin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyPublishedCharacter Context triple: [Le Petit Vingtième, originallyPublishedCharacter, Tintin]
-
A.
originallyPerformedByCharacter
Indicates that an action, work, or role was first carried out or portrayed by a particular character.
-
B.
introducedByCharacter
Indicates that one character is responsible for presenting, bringing into the story, or otherwise causing another entity to be first revealed or made known.
-
C.
introducedByCharacters
Indicates that something (such as an idea, object, or event) is brought into the narrative or context by specific characters.
-
D.
notableCharacterCreated
Indicates that one entity is a notable or significant character that was created by another entity.
-
E.
franchiseOriginCharacter
chosen
Indicates that a character is the original or primary character from which a franchise or its derivative works originate.
- 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_69eefacdad7881908b7bca61c90a1a1e |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69fdbc5ef46c8190bbcfb9798f4615b7 |
completed | May 8, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69fdbb270338819082ce3f73903e884f |
completed | May 8, 2026, 10:29 a.m. |
Created at: April 27, 2026, 9:47 a.m.