Triple
T1669490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Rogers |
E36090
|
entity |
| Predicate | canReferToMultipleIndividuals |
P29734
|
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: [James Rogers, canReferToMultipleIndividuals, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canReferToMultipleIndividuals Context triple: [James Rogers, canReferToMultipleIndividuals, true]
-
A.
canRefer
Indicates that one entity has the ability or permission to mention, point to, or direct attention to another entity.
-
B.
refersToPerson
Indicates that one entity is making reference to, mentioning, or pointing specifically to a particular person.
-
C.
refersToRole
Indicates that one entity designates, mentions, or points to another entity specifically in its capacity as a role or position.
-
D.
canOperateInMultiple
Indicates that an entity is capable of functioning or being used across more than one context, environment, or mode.
-
E.
recognizedFor
Indicates that one entity is acknowledged, credited, or honored for a particular achievement, quality, contribution, or work associated with another entity.
- 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abc0e8d5648190915ff689c7ca42bc |
completed | March 7, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69a907d331748190963d4ab1a2741537 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a9178d84008190a96c1429420fb374 |
completed | March 5, 2026, 5:41 a.m. |
Created at: March 4, 2026, 7:29 p.m.