Triple
T5043471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gun Battle at Monterey |
E113601
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Pamela Duncan |
E689976
|
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: Pamela Duncan | Statement: [Gun Battle at Monterey, hasCastMember, Pamela Duncan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pamela Duncan Context triple: [Gun Battle at Monterey, hasCastMember, Pamela Duncan]
-
A.
Pamela Duncan
chosen
Pamela Duncan was an American film and television actress active in the 1950s and 1960s, known for her roles in low-budget Westerns and genre pictures.
-
B.
Pamela Martin
Pamela Martin is an American film editor known for her work on acclaimed movies such as "The Fighter" and "Little Miss Sunshine."
-
C.
Pamela Tiffin
Pamela Tiffin was an American film and television actress best known for her work in 1960s Hollywood comedies and dramas, as well as later Italian cinema.
-
D.
Pamela Brown
Pamela Brown was a British stage and film actress known for her intense character roles in mid-20th-century cinema and theatre.
-
E.
Pamela Price
Pamela Price is a civil rights attorney and progressive politician who serves as the elected District Attorney of Alameda County, California.
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73fc04f08190aba851fa0192d0fb |
completed | March 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c91b0ad9188190ad74c33802f50783 |
completed | March 29, 2026, 12:28 p.m. |
Created at: March 20, 2026, 1:37 p.m.