Triple
T23101851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carter L. Stevenson |
E576050
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Carter |
—
|
NE NERFINISHED |
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 L. Stevenson, givenName, Carter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carter Context triple: [Carter L. Stevenson, givenName, Carter]
-
A.
Carter
"Carter" is a Canadian crime-comedy television series starring Jerry O’Connell as a Hollywood actor who returns to his hometown and begins solving real-life crimes.
-
B.
Carter
Carter is a fictional character from the action-adventure film "Soldiers of Fortune."
-
C.
Carter
chosen
Carter is a given name shared by various individuals, notably including Carter G. Woodson, a pioneering African American historian often called the "Father of Black History."
-
D.
Carter
Carter is a fictional character appearing in the 1945 British crime drama film "Madonna of the Seven Moons."
-
E.
Carter
Carter is a character from the action film "Payback," involved in the gritty criminal underworld that drives the movie’s plot.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de9fa8c81909fd26ff37173b85b |
completed | April 29, 2026, 4:49 a.m. |
Created at: April 17, 2026, 3:58 p.m.