Triple
T10348151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rooster Cogburn (and the Lady) |
E243806
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Paul Koslo |
E730362
|
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: Paul Koslo | Statement: [Rooster Cogburn (and the Lady), castMember, Paul Koslo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Koslo Context triple: [Rooster Cogburn (and the Lady), castMember, Paul Koslo]
-
A.
Paul Koslo
chosen
Paul Koslo was a German-Canadian character actor known for his supporting roles in 1970s and 1980s action and science fiction films.
-
B.
Mike Sokolsky
Mike Sokolsky is a co-founder of the online education platform Udacity, known for its technology-focused courses and nanodegree programs.
-
C.
Eric Pleskow
Eric Pleskow was an Austrian-born American film executive and producer best known for leading major studios and co-founding the influential independent film company Orion Pictures.
-
D.
Michael Kozoll
Michael Kozoll is an American television writer and producer best known for co-creating the influential police drama series "Hill Street Blues."
-
E.
Michael Kuzak
Michael Kuzak is a central attorney character on the television legal drama "L.A. Law," known for his idealism and high-profile courtroom battles.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e945d51881908dd2af6c78344c9b |
completed | April 7, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89f53484881909fb976efb3882b9b |
completed | April 10, 2026, 6:57 a.m. |
Created at: April 6, 2026, 11:56 a.m.