Triple
T9825504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daria Halprin |
E238643
|
entity |
| Predicate | coStarredWith |
P14987
|
FINISHED |
| Object | Mark Frechette |
E686241
|
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: Mark Frechette | Statement: [Daria Halprin, coStarredWith, Mark Frechette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Frechette Context triple: [Daria Halprin, coStarredWith, Mark Frechette]
-
A.
Mark Frechette
chosen
Mark Frechette was an American actor best known for his lead role in Michelangelo Antonioni’s 1970 counterculture film "Zabriskie Point."
-
B.
Derek Frey
Derek Frey is an American film producer best known for his long-time collaboration with director Tim Burton on numerous projects.
-
C.
Justin LaFrance
Justin LaFrance is an internet entrepreneur best known as a co-founder of the social discovery and recommendation platform StumbleUpon.
-
D.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
-
E.
Nate Farley
Nate Farley is an American rock guitarist best known for his work in the indie and alternative scenes, including his tenure with The Breeders.
- 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_69ca84e0dd1881909800765d1e21f735 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3181c688190afea3b27ee392a30 |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc84b0a481909000a0f04e3676d0 |
completed | April 5, 2026, 2:44 a.m. |
Created at: March 30, 2026, 8:31 p.m.