Triple
T20659889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ezra Carter |
E507732
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ezra Carter |
E507732
|
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: Ezra Carter | Statement: [Ezra Carter, name, Ezra Carter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ezra Carter Context triple: [Ezra Carter, name, Ezra Carter]
-
A.
Ezra Carter
chosen
Ezra Carter was an American musician and patriarch of the Carter Family, one of the most influential early country music groups.
-
B.
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.
-
C.
Carter Verone
Carter Verone is the ruthless Argentine drug lord and primary antagonist in the film "2 Fast 2 Furious."
-
D.
Alex Datcher
Alex Datcher is an American actress best known for her role as a flight attendant alongside Wesley Snipes in the 1992 action film "Passenger 57."
-
E.
Ezekiel Cobb
Ezekiel Cobb is the naive small-town protagonist of the 1912 novel "The Cat's-Paw," whose unwitting involvement in big-city politics drives the story's satirical plot.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2eff7a88190be0bdea227616e02 |
completed | April 20, 2026, 11:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08c59bcd4c8190925addae1e67c5b4 |
completed | May 16, 2026, 7:29 p.m. |
Created at: April 16, 2026, 11:44 a.m.