Triple
T34867336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ensign Ro |
E1005048
|
entity |
| Predicate | spinOffElementFor |
P181944
|
FINISHED |
| Object | Bajorans in Star Trek: Deep Space Nine |
—
|
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: Bajorans in Star Trek: Deep Space Nine | Statement: [Ensign Ro, spinOffElementFor, Bajorans in Star Trek: Deep Space Nine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spinOffElementFor Context triple: [Ensign Ro, spinOffElementFor, Bajorans in Star Trek: Deep Space Nine]
-
A.
spinOff
Indicates that a new entity is created by separating or divesting part of an existing entity, forming an independent offshoot derived from the original.
-
B.
spinOffWork
Indicates that one work is derived from, based on, or created as a spin-off of another preexisting work.
-
C.
spinOffAppearanceType
Indicates the type or nature of an appearance that occurs within a spin-off work derived from an original source.
-
D.
spinOffStatus
Indicates that one entity has been separated from another as a spin-off, capturing the status or condition of that spin-off relationship.
-
E.
spinOffWorkType
Indicates the type or category of a work that has been created as a spin-off from another original work.
- 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_69f76dbb678081909a247b9b5e1a73ac |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f782f416c081908bdd9b1ad456f0e2 |
completed | May 3, 2026, 5:16 p.m. |
Created at: May 3, 2026, 4 p.m.