Triple
T4305542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cyrus R. Vance Jr. |
E99946
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Vance |
E221979
|
NE 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: Vance | Statement: [Cyrus R. Vance Jr., familyName, Vance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vance Context triple: [Cyrus R. Vance Jr., familyName, Vance]
-
A.
Vance
chosen
Vance is a surname most prominently associated with Emmy and Tony Award–winning American actor Courtney B. Vance.
-
B.
Vance Franklin
Vance Franklin is an individual notable enough to be specifically cited as a bearer of the surname Franklin.
-
C.
Sterling Hayes
Sterling Hayes is a Chicago-based rapper and member of the SaveMoney collective known for his introspective lyrics and affiliation with the city's alternative hip-hop scene.
-
D.
Terance Mann
Terance Mann is a professional basketball player known for his versatile wing play in the NBA after starring in college at Florida State.
-
E.
Dirksen
Dirksen is a surname most notably associated with Everett Dirksen, a prominent mid-20th-century American politician and U.S. Senate Minority Leader.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69b345528ebc8190b5abc7e95094792d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350ba57ec8190afda7d8318e5d2d0 |
completed | March 12, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c75382848190a4f2141a72e3fb3a |
completed | March 14, 2026, 8:38 p.m. |
Created at: March 12, 2026, 11:09 p.m.