Triple
T2469651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cantor Fitzgerald |
E55338
|
entity |
| Predicate | roleOfHowardLutnick |
P40042
|
FINISHED |
| Object | Chairman and CEO |
—
|
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: Chairman and CEO | Statement: [Cantor Fitzgerald, roleOfHowardLutnick, Chairman and CEO]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfHowardLutnick Context triple: [Cantor Fitzgerald, roleOfHowardLutnick, Chairman and CEO]
-
A.
roleOfTedLeonsis
Indicates that the subject holds or is associated with a specific role, position, or capacity in relation to Ted Leonsis.
-
B.
Bobby KotickRole
Indicates that Bobby Kotick holds or has held a specific role or position in relation to another entity.
-
C.
formerCEO
Indicates that one entity previously held, but no longer holds, the position of chief executive officer of the other entity.
-
D.
founderRole
Indicates that an entity serves as a founder in relation to another entity, specifying the role or capacity in which they established it.
-
E.
worksForCompanyFoundedBy
Indicates that a person is employed by a company that was founded by a specified individual.
- 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_69ab49e3622c8190ad22afa2c4fbb807 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd2bc7b5481908b3664495e99f1a4 |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0b3ea308190a6d8499c2a542c50 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd2baee308190bdaa41ef1f6bc9cc |
completed | March 7, 2026, 7:24 a.m. |
Created at: March 6, 2026, 9:44 p.m.