Triple
T8546143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorothy Stratten |
E202327
|
entity |
| Predicate | inspiredWork |
P1994
|
FINISHED |
| Object | film Star 80 |
E311834
|
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: film Star 80 | Statement: [Dorothy Stratten, inspiredWork, film Star 80]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: film Star 80 Context triple: [Dorothy Stratten, inspiredWork, film Star 80]
-
A.
Star 80
chosen
Star 80 is a 1983 biographical crime drama film that chronicles the tragic life and murder of Playboy model Dorothy Stratten.
-
B.
Yannai
Yannai is another name for Alexander Jannaeus, a Hasmonean king of Judea and high priest who ruled in the early 1st century BCE.
-
C.
Geria Film
Geria Film is a film production company known for producing the movie "Fedora."
-
D.
Super 88
Super 88 is a higher-performance, more upscale variant of the Oldsmobile 88 full-size automobile produced by Oldsmobile in the mid-20th century.
-
E.
film "Flicka"
"Flicka" is a 2006 family drama film about a teenage girl who forms a deep bond with a wild mustang, challenging her family's expectations and traditions.
- 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe74f62148190bfd6cacf5d4f74b6 |
completed | March 31, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6db3eef08190934f5b42807ad769 |
completed | April 2, 2026, 1:23 p.m. |
Created at: March 30, 2026, 6:18 p.m.