Triple
T26037120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda Park |
E647582
|
entity |
| Predicate | playedCommunicationsOfficer |
P68592
|
FINISHED |
| Object | Hoshi Sato |
—
|
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: Hoshi Sato | Statement: [Linda Park, playedCommunicationsOfficer, Hoshi Sato]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedCommunicationsOfficer Context triple: [Linda Park, playedCommunicationsOfficer, Hoshi Sato]
-
A.
tacticalOfficer
Indicates that an entity serves in the role or capacity of a tactical officer in relation to another entity or organization.
-
B.
playedAsReturnSpecialistFor
Indicates that an entity served in the role of a return specialist for a particular team or organization.
-
C.
escortCommander
Indicates that one entity serves as the commanding officer responsible for leading or overseeing an escort force or mission involving another entity.
-
D.
playRoleIn
chosen
Indicates that an entity participates in or performs a specific function, character, or part within an event, context, or system.
-
E.
engagedWithCommander
Indicates that an entity is actively interacting, communicating, or collaborating with a commander in an operational or authoritative context.
- 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_69e77e8c88f08190858c4c81bd2e1b9a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6640168948190811bd5f933a87cf5 |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 22, 2026, 9:08 a.m.