Triple
T9356701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Setting Free the Bears |
E225156
|
entity |
| Predicate | hasPlaceInFiction |
P88124
|
FINISHED |
| Object | Vienna Zoo animal-liberation plot |
—
|
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: Vienna Zoo animal-liberation plot | Statement: [Setting Free the Bears, hasPlaceInFiction, Vienna Zoo animal-liberation plot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlaceInFiction Context triple: [Setting Free the Bears, hasPlaceInFiction, Vienna Zoo animal-liberation plot]
-
A.
hasGroundsInFiction
Indicates that something is based on, justified by, or finds its origin within fictional works or narratives.
-
B.
hasRelativeInFiction
Indicates that one entity has a relative or family member who appears as a character within a fictional work associated with the other entity.
-
C.
hasPlaceInCanon
Indicates that something holds a specific status or position within an established canon or authoritative body of works.
-
D.
hasChildInFiction
Indicates that a fictional work or character includes another character as their child within the fictional narrative.
-
E.
hasFictionalWork
Indicates that one entity is the creator, owner, or source of a fictional work associated with another entity.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4fee9d4c8190a7d121c9487ccca2 |
completed | April 1, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69cc7a68ab9481909f97cb70764697cc |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc955a38108190b602d1e73725f11b |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:42 p.m.