Triple
T11050262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Encino Man |
E261225
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Robin Tunney |
E327180
|
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: Robin Tunney | Statement: [Encino Man, starring, Robin Tunney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robin Tunney Context triple: [Encino Man, starring, Robin Tunney]
-
A.
Robin Tunney
chosen
Robin Tunney is an American actress known for her roles in films like "The Craft" and "Empire Records" and the TV series "The Mentalist."
-
B.
Kara Tointon
Kara Tointon is an English actress best known for her roles in television dramas and soap operas such as EastEnders and for winning the BBC competition Strictly Come Dancing.
-
C.
Colleen Anne Fitzpatrick
Colleen Anne Fitzpatrick is an Australian actress known for her work in film, television, and theatre.
-
D.
Katherine Patrick
Katherine Patrick is the daughter of former Massachusetts governor Deval Patrick and has occasionally appeared in public alongside her politically prominent family.
-
E.
Kristin Scott Thomas
Kristin Scott Thomas is an acclaimed British actress known for her nuanced performances in films such as "The English Patient," "Four Weddings and a Funeral," and "The Horse Whisperer."
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79868c78881908c8e3672c05ae7ec |
completed | April 9, 2026, 12:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e6e19c9c81909d114cf9bd0e2f84 |
completed | April 21, 2026, 2:54 a.m. |
Created at: April 8, 2026, 9:26 p.m.