Triple
T23465074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peña Duro |
E569081
|
entity |
| Predicate | characterOriginLocationOf |
P90667
|
FINISHED |
| Object | Bane |
—
|
NE NERFINISHED |
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: Bane | Statement: [Peña Duro, characterOriginLocationOf, Bane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterOriginLocationOf Context triple: [Peña Duro, characterOriginLocationOf, Bane]
-
A.
characterOrigin
Indicates the source, background, or initial context from which a character originates.
-
B.
originOfCharacter
chosen
Indicates the source or place from which a character originates or is created.
-
C.
cityOfFictionalOrigin
Indicates the city from which a fictional character, entity, or work is described as originating within its narrative or fictional universe.
-
D.
countyOfOrigin
Indicates the county from which an entity originally comes or was first produced.
-
E.
birthPlaceAccordingTo
Indicates that an entity’s place of birth is given as a specific location according to a particular source or authority.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6f9e59081909e8cf224ee46109c |
completed | April 29, 2026, 6:36 a.m. |
| PD | Predicate disambiguation | batch_69f06201d33481909b5fd7b92d03e658 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 5:54 p.m.