Triple
T15987467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Morgan |
E387733
|
entity |
| Predicate | hasSpouse |
P13
|
FINISHED |
| Object | Sam McCall |
E1187947
|
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: Sam McCall | Statement: [Jason Morgan, hasSpouse, Sam McCall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam McCall Context triple: [Jason Morgan, hasSpouse, Sam McCall]
-
A.
Sam McCall
chosen
Sam McCall is a fictional private investigator and longtime central heroine on the ABC soap opera "General Hospital."
-
B.
Casey McCall
Casey McCall is a witty, fast-talking sports anchor and one of the central protagonists on the television series "Sports Night."
-
C.
Vanessa Carlysle
Vanessa Carlysle is a character in Marvel Comics and the Deadpool films, known as Deadpool’s primary love interest and, in the comics, the mutant shapeshifter mercenary called Copycat.
-
D.
Kay Chandler
Kay Chandler is a central character in the romantic drama film "Random Hearts," portrayed as a composed and principled congresswoman whose life is upended by a personal tragedy.
-
E.
Tanee McCall
Tanee McCall is an American actress and professional dancer known for her roles in film and television, including action and dance-focused projects.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1575993948190a05d60fc9d0c05fa |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf1cb1388190b1ebccc6705e5974 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:54 a.m.