Triple
T13238350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hard Rain |
E315212
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Peter Menzies Jr. |
E205634
|
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: Peter Menzies Jr. | Statement: [Hard Rain, cinematographyBy, Peter Menzies Jr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Menzies Jr. Context triple: [Hard Rain, cinematographyBy, Peter Menzies Jr.]
-
A.
Peter Menzies Jr.
chosen
Peter Menzies Jr. is an Australian cinematographer known for his work on major action and war films in Hollywood.
-
B.
Peter Menzies Sr.
Peter Menzies Sr. is the father of Australian cinematographer and film director Peter Menzies Jr.
-
C.
Ron Winston
Ron Winston was a television director best known for his work on classic anthology series such as The Twilight Zone.
-
D.
Michael Anderson Jr.
Michael Anderson Jr. is a British-born actor best known for his roles in 1960s Westerns and war films, including prominent appearances in Hollywood productions.
-
E.
Alfred Cox
Alfred Cox was an architect known for designing Kingston Museum in Kingston upon Thames, England.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d56da008190af55da3a9e7ffd4d |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff323a3c8190b46b24e69e653105 |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:23 p.m.