Triple
T14519908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sudden Impact |
E340623
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Sondra Locke |
E736995
|
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: Sondra Locke | Statement: [Sudden Impact, starring, Sondra Locke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sondra Locke Context triple: [Sudden Impact, starring, Sondra Locke]
-
A.
Sondra Locke
chosen
Sondra Locke was an American actress and director best known for her frequent film collaborations and long-term personal relationship with Clint Eastwood during the 1970s and 1980s.
-
B.
Cheryl Ladd
Cheryl Ladd is
-
C.
Stefanie Powers
Stefanie Powers is an American actress best known for her role as Jennifer Hart in the television series "Hart to Hart."
-
D.
Katharine Ross
Katharine Ross is an American actress best known for her acclaimed role as Elaine Robinson in the classic 1967 film "The Graduate."
-
E.
Tanya Roberts
Tanya Roberts was an American actress and model best known for her roles in the James Bond film "A View to a Kill," the TV series "Charlie's Angels," and "That '70s Show."
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a70b15c81908773633e989ef704 |
completed | April 14, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda90e1778819095f5ac8848120098 |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 10, 2026, 1:22 a.m.