Triple
T12280633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Wallace |
E292706
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Norma Kaphan |
E289950
|
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: Norma Kaphan | Statement: [Chris Wallace, parent, Norma Kaphan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norma Kaphan Context triple: [Chris Wallace, parent, Norma Kaphan]
-
A.
Norma Kaphan
chosen
Norma Kaphan was the first wife of American journalist and television personality Mike Wallace.
-
B.
Norma Barzman
Norma Barzman was an American screenwriter and author associated with the Hollywood blacklist era and known for her political activism and memoirs.
-
C.
Paula Alquist
Paula Alquist is the psychologically tormented heroine of the 1944 film "Gaslight," whose manipulation by her husband gave rise to the term "gaslighting."
-
D.
Marjorie Estiano
Marjorie Estiano is a Brazilian actress and singer acclaimed for her powerful television performances and international recognition.
-
E.
Norma Ziegler
Norma Ziegler is the mother of American actress and screenwriter Karen Black.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cf1ab8c8190a51f498bfda957d8 |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a97614c8190b67e07df3e424e32 |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:52 p.m.