Triple
T22055350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cameron Shute |
E544993
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Cameron |
—
|
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: Cameron | Statement: [Cameron Shute, givenName, Cameron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cameron Context triple: [Cameron Shute, givenName, Cameron]
-
A.
Cameron
chosen
Cameron is a common Scottish surname that has been borne by numerous notable figures, including former UK Prime Minister David Cameron.
-
B.
Cameron
Cameron is a small coastal community in southwestern Louisiana known for its fishing industry, proximity to the Gulf of Mexico, and vulnerability to hurricanes.
-
C.
Cameron
Cameron is a reprogrammed Terminator who serves as John Connor’s protector and ally in the television series "Terminator: The Sarah Connor Chronicles."
-
D.
Cameron
Cameron is the central protagonist of the 1980 film "The Stunt Man," a fugitive who becomes a stunt double on a chaotic movie set, blurring the line between reality and illusion.
-
E.
Cameron
Cameron is a small unincorporated community on the Navajo Nation in northern Arizona, known as a gateway stop for travelers to the Grand Canyon and surrounding desert landscapes.
- 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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1285790948190b21abfb09abbb5e5 |
completed | April 28, 2026, 9:36 p.m. |
Created at: April 16, 2026, 8:26 p.m.