Triple
T31172803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zenobia’s parlor |
E794658
|
entity |
| Predicate | ownerOrPrimaryOccupantInFiction |
P14482
|
FINISHED |
| Object | Zenobia |
—
|
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: Zenobia | Statement: [Zenobia’s parlor, ownerOrPrimaryOccupantInFiction, Zenobia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownerOrPrimaryOccupantInFiction Context triple: [Zenobia’s parlor, ownerOrPrimaryOccupantInFiction, Zenobia]
-
A.
formerOwnerInFiction
Indicates that one entity is depicted in a fictional context as having previously owned another entity.
-
B.
hasFictionalProprietor
chosen
Indicates that something is owned, managed, or run by a fictional character or entity within a narrative context.
-
C.
ownedByFictionalCharacter
Indicates that something is possessed or owned by a fictional (not real-world) character.
-
D.
ownerOfProtagonist
Indicates that one entity is the owner, master, or possessor of the protagonist entity.
-
E.
ownedByFictionalFamily
Indicates that something is possessed or held in ownership by a fictional family within a narrative or fictional universe.
- 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_69f224d5b9708190b6ca79ad2fd3a28a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 29, 2026, 9:07 p.m.