Triple
T16272019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Carter |
E395022
|
entity |
| Predicate | familyName |
P18
|
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: [Nick Carter, familyName, Carter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carter Context triple: [Nick Carter, familyName, 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 music producer known for working on Tina Turner’s acclaimed album "Private Dancer."
-
C.
Carter
chosen
Carter is a common English surname borne by numerous notable individuals, including the 39th U.S. president, Jimmy Carter.
-
D.
Carter
Carter is a fictional character from the action-adventure film "Soldiers of Fortune."
-
E.
Carter
Carter is the person after whom the Carter Bridge is named, likely a notable figure associated with the bridge’s history or construction.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2460a4f7c8190a614c11f7eaa0a7a |
completed | April 17, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017bf09888190b3d90db3517a2f1e |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:05 a.m.