Triple
T17099651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blair Cramer |
E414943
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Max Holden |
E1255109
|
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: Max Holden | Statement: [Blair Cramer, spouse, Max Holden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Max Holden Context triple: [Blair Cramer, spouse, Max Holden]
-
A.
Max Holden
chosen
Max Holden is a fictional character from the soap opera "One Life to Live," known for his complex romantic entanglements and dramatic storylines in Llanview.
-
B.
David Holden
David Holden is a film editor known for his work on the movie "The Warriors."
-
C.
Doug Holden
Doug Holden was an English footballer best known as a long-serving winger for Bolton Wanderers and a member of their Hall of Fame.
-
D.
Masam Holden
Masam Holden is an American actor known for supporting roles in films and television, including a part in the coming-of-age drama "The Spectacular Now."
-
E.
Max Dennison
Max Dennison is the skeptical teenage protagonist of the Halloween-themed fantasy film "Hocus Pocus," whose actions accidentally resurrect three witches in Salem.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc00880481909cc0dbc169663a41 |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01673ff7ec8190add7af932c38deef |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:35 a.m.