Triple
T12766231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Harm's Way (1965 film) |
E305130
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Paula Prentiss |
E460061
|
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: Paula Prentiss | Statement: [In Harm's Way (1965 film), starring, Paula Prentiss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paula Prentiss Context triple: [In Harm's Way (1965 film), starring, Paula Prentiss]
-
A.
Paula Prentiss
chosen
Paula Prentiss is an American actress known for her tall, comedic presence in 1960s films and television, including roles in movies like "Where the Boys Are" and "The Stepford Wives."
-
B.
Barbara Bain
Barbara Bain is an American actress best known for her role as Cinnamon Carter on the television series "Mission: Impossible," for which she won multiple Primetime Emmy Awards.
-
C.
Angela Richards
Angela Richards is known as one of the children of Rolling Stones guitarist Keith Richards.
-
D.
Cheryl Ladd
Cheryl Ladd is
-
E.
Denise Crosby
Denise Crosby is an American actress best known for playing Lieutenant Tasha Yar on the television series Star Trek: The Next Generation.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df1ef148190af525532fcb0933b |
completed | April 10, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbb735e481909f120f95fa68f4f1 |
completed | May 3, 2026, 4:14 a.m. |
Created at: April 9, 2026, 5:28 p.m.