Triple
T14882194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nina K. Peck |
E350026
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Carey Paul Peck |
E66163
|
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: Carey Paul Peck | Statement: [Nina K. Peck, spouse, Carey Paul Peck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carey Paul Peck Context triple: [Nina K. Peck, spouse, Carey Paul Peck]
-
A.
Carey Paul Peck
chosen
Carey Paul Peck is one of the sons of legendary American actor Gregory Peck.
-
B.
Carey Van Dyke
Carey Van Dyke is an American screenwriter and actor known for co-writing genre films and television projects, often collaborating with his father, Dick Van Dyke’s son Barry Van Dyke.
-
C.
Pat McCormick
Pat McCormick was an American comedian and television writer known for his work on "The Tonight Show Starring Johnny Carson" and appearances in films and TV comedies.
-
D.
Cary Woods
Cary Woods is an American film producer known for championing influential independent films in the 1990s, including titles like "Swingers" and "Scream."
-
E.
Carey Mahoney
Carey Mahoney is the wisecracking, rebellious police recruit and central protagonist of the early Police Academy comedy films.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e7c0e48190af2d68a71130585c |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b5af8208190a35451477ea20b03 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:56 a.m.