Triple
T16824644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Murray |
E408985
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | A Hatful of Rain |
E970962
|
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: A Hatful of Rain | Statement: [Don Murray, notableWork, A Hatful of Rain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A Hatful of Rain Context triple: [Don Murray, notableWork, A Hatful of Rain]
-
A.
A Hatful of Rain
chosen
A Hatful of Rain is a 1957 American drama film that explores the impact of drug addiction on a young Korean War veteran and his family.
-
B.
Nine O'Clock Gun
The Nine O'Clock Gun is a historic naval cannon in Vancouver that is fired nightly as a time signal and popular local tradition.
-
C.
Trespasses
"Trespasses" is a song featured on the album "Trampin'" by Patti Smith.
-
D.
The Limey
The Limey is a 1999 neo-noir crime film directed by Steven Soderbergh, starring Terence Stamp as a vengeful ex-con seeking justice for his daughter's death in Los Angeles.
-
E.
The Cook, the Thief, His Wife & Her Lover
The Cook, the Thief, His Wife & Her Lover is a 1989 British-French art-house crime drama film directed by Peter Greenaway, renowned for its stylized visuals, provocative themes, and intense performances.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b310ffec81908087e5aaacc4a7c2 |
completed | April 18, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b29c170c81908fcc88c31e266ffb |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:23 a.m.