Triple
T27246974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tintin in Tibet |
E687370
|
entity |
| Predicate | consideredByCriticsAs |
P60346
|
FINISHED |
| Object | one of the most personal Tintin stories |
—
|
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: one of the most personal Tintin stories | Statement: [Tintin in Tibet, consideredByCriticsAs, one of the most personal Tintin stories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consideredByCriticsAs Context triple: [Tintin in Tibet, consideredByCriticsAs, one of the most personal Tintin stories]
-
A.
alsoCalledByCritics
Indicates that critics refer to the same entity by an alternative name or label.
-
B.
isNotedByCriticsFor
chosen
Indicates that something has been recognized and highlighted by critics specifically for a particular quality, feature, or aspect.
-
C.
hasNotableCritic
Indicates that one entity serves as a significant or widely recognized critic of another entity.
-
D.
classificationByCritics
Indicates how critics have categorized, rated, or evaluated an entity according to their professional or editorial judgment.
-
E.
hasTheatricalCriticism
Indicates that one entity has written, produced, or is otherwise associated with theatrical criticism about another entity.
- 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_69ef355547408190b5ca0d777c65040a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c663be481908f233d25d28713a4 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 10:42 a.m.