Triple
T21994512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Witch from Rapunzel |
E543170
|
entity |
| Predicate | imprisonsIn |
P6022
|
FINISHED |
| Object | tower |
—
|
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: tower | Statement: [Witch from Rapunzel, imprisonsIn, tower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imprisonsIn Context triple: [Witch from Rapunzel, imprisonsIn, tower]
-
A.
imprisonedWith
Indicates that two entities are confined or held in prison together at the same time and place.
-
B.
sometimesImprisons
Indicates that one entity occasionally confines or incarcerates another entity, but not on a regular or constant basis.
-
C.
usedForImprisoning
Indicates that something serves as a means, tool, or method for confining or detaining someone against their will.
-
D.
wasImprisonedIn
chosen
Indicates that an entity was held in confinement or incarcerated at a particular place or facility.
-
E.
imprisonmentContext
Indicates that one entity is held in confinement or custody by another entity or authority within a specific legal, temporal, or situational context.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127639bf48190800b3fa3c1527983 |
completed | April 28, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69e6f6154e408190acc5b2c278acaff4 |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:18 p.m.