Triple
T27339011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luciano Maiani |
E690038
|
entity |
| Predicate | theoryContributedTo |
P1993
|
FINISHED |
| Object | Standard Model of particle physics |
—
|
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: Standard Model of particle physics | Statement: [Luciano Maiani, theoryContributedTo, Standard Model of particle physics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: theoryContributedTo Context triple: [Luciano Maiani, theoryContributedTo, Standard Model of particle physics]
-
A.
tributeTo
Indicates that one entity is created, given, or dedicated as a mark of respect, admiration, or honor toward another entity.
-
B.
theoryCoAuthor
Indicates that two or more entities jointly authored or contributed to the development of the same theory.
-
C.
contributeTo
chosen
Indicates that one entity provides support, resources, or effort that helps bring about, enhance, or maintain another entity, outcome, or state.
-
D.
theoryProposedByAuthor
Indicates that a particular theory was proposed or put forward by a specific author.
-
E.
contributionBased
Indicates that something is determined, allocated, or structured according to the level or amount of contributions made by the involved entities.
- 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_69ef355e5b388190a8fc1eba9b4a6656 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f62ad17d30819082fd2c9dbc1f964f |
completed | May 2, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69f620e4b1c88190a17940251abc68fd |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 11:41 a.m.