Triple
T34792021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Fées |
E1002971
|
entity |
| Predicate | punishmentForElderSister |
P181617
|
FINISHED |
| Object | toads and snakes fall from her mouth when she speaks |
—
|
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: toads and snakes fall from her mouth when she speaks | Statement: [Les Fées, punishmentForElderSister, toads and snakes fall from her mouth when she speaks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: punishmentForElderSister Context triple: [Les Fées, punishmentForElderSister, toads and snakes fall from her mouth when she speaks]
-
A.
punishedBy
Indicates that an entity receives punishment administered by another entity.
-
B.
childrenPunishForHer
Indicates that the children impose a punishment or disciplinary action on her.
-
C.
punishedAmong
Indicates that an entity is punished within a particular group or set of entities, as one among them.
-
D.
isEldestSisterOf
Indicates that one person is the oldest female sibling in relation to another person.
-
E.
sharesPunishmentWith
Indicates that two or more entities receive or experience the same punishment or penalty together.
- 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_69f76db47d408190a24fc7164439ea2d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
| PDg | Predicate description generation | batch_69f77ff804f08190b431a31e6179ace4 |
completed | May 3, 2026, 5:03 p.m. |
Created at: May 3, 2026, 3:59 p.m.