Triple
T30811309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fujifilm X-H2S |
E784651
|
entity |
| Predicate | siblingModel |
P170523
|
FINISHED |
| Object | Fujifilm X-H2 |
—
|
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: Fujifilm X-H2 | Statement: [Fujifilm X-H2S, siblingModel, Fujifilm X-H2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: siblingModel Context triple: [Fujifilm X-H2S, siblingModel, Fujifilm X-H2]
-
A.
familySiblingModel
Indicates a sibling relationship between two family members, such as brothers, sisters, or brother–sister pairs.
-
B.
siblingBranch
Indicates that two branches share the same immediate parent node in a hierarchical structure, making them parallel or peer branches.
-
C.
siblingGroup
Indicates that multiple individuals belong to the same set of siblings, sharing at least one parent in common.
-
D.
sibling
Indicates that two entities share at least one parent, making them brothers or sisters to each other.
-
E.
bearerSibling
Indicates that the related entity is a sibling (sharing at least one parent) of the bearer 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_69f224b4eda48190bd212ce4f3901e56 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69064ad888190ba223c7dc83bc98e |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68fb914b88190b0cad83ea9fe9dfc |
completed | May 2, 2026, 11:58 p.m. |
Created at: April 29, 2026, 8:43 p.m.