Triple
T12423528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Want to Live! |
E296838
|
entity |
| Predicate | portrays |
P264
|
FINISHED |
| Object | Barbara Graham |
E1186871
|
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: Barbara Graham | Statement: [I Want to Live!, portrays, Barbara Graham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barbara Graham Context triple: [I Want to Live!, portrays, Barbara Graham]
-
A.
Barbara Graham
Barbara Graham is the wife of Pro Football Hall of Fame quarterback Steve Young.
-
B.
Barbara Graham
chosen
Barbara Graham was a real-life American woman whose controversial conviction and 1955 execution for murder inspired the acclaimed film "I Want to Live!" and ongoing debate about capital punishment and wrongful convictions.
-
C.
Barbara Cosgrove
Barbara Cosgrove is best known as the wife of American singer and actor Gary Crosby, son of legendary entertainer Bing Crosby.
-
D.
Barbara Tucker
Barbara Tucker is an American house and dance music singer, songwriter, and choreographer known for her powerful vocals and influential club hits in the 1990s and 2000s.
-
E.
Barbara Leeds
Barbara Leeds was an American actress best known for her film and television work in the mid-20th century.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d7b6bd08190b30beba393a5b1e7 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3ab3c8881909da34dc94a1deff2 |
completed | May 9, 2026, 11:30 p.m. |
Created at: April 8, 2026, 9:55 p.m.