Triple
T12586936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Nolte |
E300488
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Mulholland Falls |
E708610
|
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: Mulholland Falls | Statement: [Nick Nolte, notableWork, Mulholland Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mulholland Falls Context triple: [Nick Nolte, notableWork, Mulholland Falls]
-
A.
Mulholland Falls
chosen
Mulholland Falls is a 1996 neo-noir crime thriller film set in 1950s Los Angeles, following a hard-edged LAPD squad as they investigate a mysterious murder tied to government secrets.
-
B.
Mulholland Point
Mulholland Point is a coastal headland in New Brunswick, Canada, overlooking the Bay of Fundy near the border with the United States.
-
C.
Camarillo Hills
Camarillo Hills is a hilly geographic area near the city of Camarillo in Ventura County, California, known for its rolling terrain and scenic views.
-
D.
Paradise Falls
Paradise Falls is the remote, towering South American waterfall and cliffside destination central to the adventure in Pixar's animated film "Up."
-
E.
Morninghill
Morninghill is a residential suburb located near Bedfordview in the eastern part of Johannesburg, South Africa.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954bbe72c8190aa11090bb6b480c9 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ebed164819083fbdaa775a59cd4 |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 9, 2026, 5:05 p.m.