Triple
T20038420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruth Roman |
E497341
|
entity |
| Predicate | starredIn |
P1668
|
FINISHED |
| Object | Joe Kidd |
—
|
NE NERFINISHED |
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: Joe Kidd | Statement: [Ruth Roman, starredIn, Joe Kidd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Kidd Context triple: [Ruth Roman, starredIn, Joe Kidd]
-
A.
Joe Kidd
chosen
Joe Kidd is a 1972 American Western film starring Clint Eastwood as a former bounty hunter drawn into a land dispute in New Mexico.
-
B.
Tom McLaury
Tom McLaury was an outlaw cowboy of the Old West and a member of the loosely organized Cochise County Cowboys, best known for being killed in the infamous 1881 gunfight in Tombstone, Arizona.
-
C.
Josey Scott
Josey Scott is an American musician best known as the original lead vocalist of the rock band Saliva.
-
D.
Joe Darrow
Joe Darrow is a grieving physician who becomes obsessed with mysterious signs he believes are messages from his late wife in the supernatural drama film "Dragonfly."
-
E.
Bob Steele
Bob Steele was an American film actor best known for his roles in Westerns during the early to mid-20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662e9e99c81909b7d50eac893c414 |
completed | April 20, 2026, 5:31 p.m. |
Created at: April 11, 2026, 3:36 p.m.