Triple
T37337949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ζ Herculis |
E926947
|
entity |
| Predicate | isDoubleStar |
P187742
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [ζ Herculis, isDoubleStar, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDoubleStar Context triple: [ζ Herculis, isDoubleStar, true]
-
A.
containsDoubleStar
Indicates that one entity includes or features a pair of star symbols (a double asterisk) within it.
-
B.
containsDoubleStarSolutions
Indicates that the subject includes or encompasses solutions involving double-star configurations or systems.
-
C.
hasDouble
Indicates that an entity possesses or is associated with a counterpart that is a duplicate or closely similar version of it.
-
D.
isDoubleAAsideWith
Indicates that two entities are paired together as a double A-side, typically sharing equal prominence in a joint release (such as two lead tracks on the same single).
-
E.
containsStarType
Indicates that one entity includes or is associated with a star of a specified stellar type.
- 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_69f76eb4e8a881908bd40da28f36fc7e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb8c38a9688190be524246f5682107 |
completed | May 6, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9c6e0481908565bd849e869b24 |
completed | May 6, 2026, 3:13 p.m. |
| PDg | Predicate description generation | batch_69fb8c37931c81909da038c18ed9add2 |
completed | May 6, 2026, 6:45 p.m. |
Created at: May 3, 2026, 4:16 p.m.