Triple
T8719714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esmeralda |
E206980
|
entity |
| Predicate | kidnappedAsInfantBy |
P23387
|
FINISHED |
| Object | Romani |
—
|
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: Romani | Statement: [Esmeralda, kidnappedAsInfantBy, Romani]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kidnappedAsInfantBy Context triple: [Esmeralda, kidnappedAsInfantBy, Romani]
-
A.
abductedFrom
Indicates that an entity was forcibly taken away or kidnapped from a specified location or source.
-
B.
wasKidnapped
Indicates that an entity was forcibly taken and held against their will by another entity.
-
C.
abductedBy
chosen
Indicates that an entity has been forcibly taken or carried away by another entity against their will.
-
D.
givenInAdoptionBy
Indicates that an entity was transferred into adoption through the action or decision of a specific giver (such as a person or organization).
-
E.
featuresChildAbduction
Indicates that an event, situation, or narrative involves the abduction or kidnapping of a child as a central or notable element.
- 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d02a52c81909f93622ae6920b80 |
completed | March 31, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69cc457093188190959287a6458651c6 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:36 p.m.