Triple
T13018522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cameron Holt |
E322614
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Carol Hagen |
E526614
|
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: Carol Hagen | Statement: [Cameron Holt, mother, Carol Hagen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carol Hagen Context triple: [Cameron Holt, mother, Carol Hagen]
-
A.
Carol Hagen
chosen
Carol Hagen is an American real estate agent best known as the wife of NBC Nightly News anchor Lester Holt.
-
B.
Maureen Blumhardt
Maureen Blumhardt is a former model and legal aide best known as the longtime wife of NBA Hall of Famer Charles Barkley.
-
C.
Gail Klintworth
Gail Klintworth is a business leader known for her senior roles in global consumer goods companies and her work advancing responsible, sustainable business practices.
-
D.
Carol Laise
Carol Laise was an American diplomat and educator who notably served as U.S. Ambassador to Nepal and later held senior positions in the U.S. State Department.
-
E.
Carole Eastman
Carole Eastman was an American screenwriter best known for her incisive character-driven work in 1970s New Hollywood cinema, including the film "Five Easy Pieces."
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ece22908190a0941e23df7c774d |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff78ad38481908df2338aaf276da9 |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 9, 2026, 8:51 p.m.