Triple
T573049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derek Jeter |
E13702
|
entity |
| Predicate | heldRole |
P13957
|
FINISHED |
| Object | CEO of Miami Marlins |
—
|
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: CEO of Miami Marlins | Statement: [Derek Jeter, heldRole, CEO of Miami Marlins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heldRole Context triple: [Derek Jeter, heldRole, CEO of Miami Marlins]
-
A.
hasOrganizationalRole
chosen
Indicates that an entity holds a specific role, position, or function within an organization.
-
B.
heldJudicialPositionIn
Indicates that an entity served in an official judicial role or office within a specified jurisdiction or court.
-
C.
hasPoliticalRole
Indicates that an entity holds, has held, or is assigned a specific political office, function, or position in relation to another entity or context.
-
D.
hasMainRole
Indicates that an entity holds the primary or most significant role in relation to another entity or context.
-
E.
servedAs
Indicates that one entity held and performed the role, position, or function associated with another entity for some period of time.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b4ae0988190bdd0ad428b784d85 |
completed | March 1, 2026, 8:02 p.m. |
| PD | Predicate disambiguation | batch_69a494c4969c819080375d08f9eec50c |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.