Triple
T31414881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alice Kinnian |
E801365
|
entity |
| Predicate | recommendsForExperiment |
P171841
|
FINISHED |
| Object | Charlie Gordon |
—
|
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: Charlie Gordon | Statement: [Alice Kinnian, recommendsForExperiment, Charlie Gordon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recommendsForExperiment Context triple: [Alice Kinnian, recommendsForExperiment, Charlie Gordon]
-
A.
includesExperiment
Indicates that one entity contains or encompasses a specific experiment as part of its scope, composition, or content.
-
B.
experimentedOnBy
Indicates that an entity has been the subject or object of an experiment conducted by another entity.
-
C.
experimentedOn
Indicates that one entity conducted experiments or tests on another entity as the subject of investigation.
-
D.
showedInExperiments
Indicates that something was demonstrated or observed to occur within the context of experiments.
-
E.
featuresExperiment
Indicates that an entity is involved in, or is the subject of, a specific experimental setup, test, or trial.
- 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_69f348c0dd648190bf2fd7642f78eb06 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a5f656ec81909e02b0b873303adf |
completed | May 3, 2026, 1:33 a.m. |
Created at: April 30, 2026, 8:42 p.m.