Triple
T26910882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Zweig |
E677380
|
entity |
| Predicate | coProposed |
P55527
|
FINISHED |
| Object | quark model with Murray Gell-Mann (independently) |
—
|
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: quark model with Murray Gell-Mann (independently) | Statement: [George Zweig, coProposed, quark model with Murray Gell-Mann (independently)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coProposed Context triple: [George Zweig, coProposed, quark model with Murray Gell-Mann (independently)]
-
A.
coProposedBy
chosen
Indicates that a proposal, idea, or item is jointly put forward or suggested by multiple entities together.
-
B.
proposes
Indicates that one entity formally suggests or puts forward an idea, plan, or course of action to another entity for consideration or approval.
-
C.
proposalType
Indicates the specific category or kind of proposal associated with an entity or event.
-
D.
hasProposed
Indicates that one entity has formally suggested or put forward something (such as an idea, plan, or offer) to another entity for consideration or acceptance.
-
E.
proposedRight
Indicates that one party has put forward or suggested granting a specific right to another party or entity.
- 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_69eee9bcef1c8190be88586bb902bb9b |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61fda907c8190ad532e2fe4198b37 |
completed | May 2, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 6:01 a.m.