Triple
T10364720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cameron Winklevoss |
E244222
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Cameron |
E66887
|
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: Cameron | Statement: [Cameron Winklevoss, givenName, Cameron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cameron Context triple: [Cameron Winklevoss, givenName, Cameron]
-
A.
Cameron
Cameron is a reprogrammed Terminator who serves as John Connor’s protector and ally in the television series "Terminator: The Sarah Connor Chronicles."
-
B.
Cameron
chosen
Cameron is a common Scottish surname that has been borne by numerous notable figures, including former UK Prime Minister David Cameron.
-
C.
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.
-
D.
Cameron Wallace
Cameron Wallace is a music producer known for his work on the track "Upgrade U."
-
E.
Cameron Poe
Cameron Poe is the fictional former Army Ranger protagonist of the action film "Con Air," known for battling hijackers aboard a prisoner transport plane to protect innocent lives and reunite with his family.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e964a53c8190b748e80850e96656 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750c2d2748190b871b928d5a094f8 |
completed | April 9, 2026, 7:09 a.m. |
Created at: April 6, 2026, noon