Triple
T7222562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carter Vanderbilt Cooper |
E150294
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Carter |
E93561
|
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: Carter | Statement: [Carter Vanderbilt Cooper, givenName, Carter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carter Context triple: [Carter Vanderbilt Cooper, givenName, Carter]
-
A.
Carter
chosen
Carter is a common English surname borne by numerous notable individuals, including the 39th U.S. president, Jimmy Carter.
-
B.
Carter Verone
Carter Verone is the ruthless Argentine drug lord and primary antagonist in the film "2 Fast 2 Furious."
-
C.
Carter Chambers
Carter Chambers is a terminally ill mechanic and family man who embarks on a globe-trotting adventure to fulfill his "bucket list" alongside a wealthy stranger in the film "The Bucket List."
-
D.
Carter Roberts
Carter Roberts is an American conservation leader best known as the longtime president and CEO of the World Wildlife Fund (WWF) in the United States.
-
E.
Carter De Haven
Carter De Haven was an American actor, comedian, and film director active in the early to mid-20th century, known for his work in both silent and sound films.
- 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_69c687effb44819092b95d07d0368c9f |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e9b54a5c8190a4a289f32853a8fe |
completed | March 27, 2026, 8:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc0c3ff08190b855fa57967586ce |
completed | March 28, 2026, 12:39 p.m. |
Created at: March 27, 2026, 2:54 p.m.