Triple
T23782977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HIP 21432 |
E587867
|
entity |
| Predicate | isVisualCompanionOf |
P69911
|
FINISHED |
| Object | HIP 21421 |
—
|
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: HIP 21421 | Statement: [HIP 21432, isVisualCompanionOf, HIP 21421]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isVisualCompanionOf Context triple: [HIP 21432, isVisualCompanionOf, HIP 21421]
-
A.
companionOf
Indicates that one entity serves as a companion or partner to another, typically accompanying or being closely associated with them.
-
B.
visualCompanion
chosen
Indicates that one entity serves as a visual counterpart, partner, or accompanying element to another in a visual context.
-
C.
includesCompanion
Indicates that one entity involves, contains, or is accompanied by another entity acting as a companion.
-
D.
wasCompanionOf
Indicates that one entity accompanied or associated closely with another, typically as a partner, ally, or fellow participant over some period of time.
-
E.
hasCompanionPiece
Indicates that one item is conceptually or functionally paired with another item as its companion piece.
- 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_69e2490f4ad48190b690878eec3596c6 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c62ea9c0819083544822267d3215 |
completed | April 29, 2026, 8:49 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:16 p.m.