Triple
T1530743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Executive Two |
E32435
|
entity |
| Predicate | callSignForPerson |
P29888
|
FINISHED |
| Object | sitting Vice President of the United States |
—
|
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: sitting Vice President of the United States | Statement: [Executive Two, callSignForPerson, sitting Vice President of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: callSignForPerson Context triple: [Executive Two, callSignForPerson, sitting Vice President of the United States]
-
A.
callsign
Indicates that an entity is assigned or uses a specific radio or identification callsign as its designated identifier in communication contexts.
-
B.
callSignType
Indicates the classification or category of a call sign associated with an entity or communication.
-
C.
formerCallSign
Indicates that one identifier was previously used as the call sign for the other entity before being changed or replaced.
-
D.
callSignMeaning
Indicates that an entity’s call sign conveys or is associated with a particular meaning or interpretation.
-
E.
callsignSeries
Indicates that one entity is a member or installment within a series or sequence that shares the same callsign.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a933ddc5a881909cdf503f2bc29bd4 |
completed | March 5, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69a907ae8f688190ad9000ea1e018585 |
completed | March 5, 2026, 4:33 a.m. |
| PDg | Predicate description generation | batch_69a933dce3488190b20f0e3d37d16371 |
completed | March 5, 2026, 7:42 a.m. |
Created at: March 4, 2026, 7:26 p.m.