Triple
T13125539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star 80 |
E311834
|
entity |
| Predicate | subject |
P450
|
FINISHED |
| Object | Dorothy Stratten |
E202327
|
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: Dorothy Stratten | Statement: [Star 80, subject, Dorothy Stratten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dorothy Stratten Context triple: [Star 80, subject, Dorothy Stratten]
-
A.
Dorothy Stratten
chosen
Dorothy Stratten was a Canadian Playboy Playmate and rising film actress whose promising career was tragically cut short when she was murdered at age 20 in 1980.
-
B.
Nancy Spungen
Nancy Spungen was an American groupie closely associated with the 1970s punk scene, best known for her tumultuous and tragic relationship with Sex Pistols bassist Sid Vicious.
-
C.
Margi Casey
Margi Casey is one of the children of the late Robert P. Casey, the former governor of Pennsylvania.
-
D.
Lygia Clark
Lygia Clark was a pioneering Brazilian artist known for her influential role in Neo-Concrete art and her participatory, sensory-based works that blurred the boundaries between art and viewer.
-
E.
Jodi Matterson
Jodi Matterson is an Australian film and television producer known for her work on acclaimed genre-bending projects and character-driven stories.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9819946808190b41335fb1054accd |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e28bdd6881909d01e550e99267e1 |
completed | May 3, 2026, 5:52 a.m. |
Created at: April 9, 2026, 9:07 p.m.