Triple
T15267054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gloria Talbott |
E364925
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | The Cisco Kid |
E945679
|
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: The Cisco Kid | Statement: [Gloria Talbott, appearedIn, The Cisco Kid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Cisco Kid Context triple: [Gloria Talbott, appearedIn, The Cisco Kid]
-
A.
The Oklahoma Kid
The Oklahoma Kid is a 1939 Western film starring James Cagney as a fast-drawing drifter who clashes with corrupt town leaders on the American frontier.
-
B.
The Cisco Kid Returns
chosen
The Cisco Kid Returns is a 1945 Western film starring George Montgomery as the charming outlaw hero Cisco Kid in a classic adventure of justice and romance.
-
C.
The Cheyenne Kid
The Cheyenne Kid is a Western film starring American actor Tom Keene, known for his roles in classic B-movie cowboy adventures.
-
D.
The Tonto Kid
The Tonto Kid is a 1930s American Western film featuring actress Joan Barclay in its cast.
-
E.
Mr. Cowboy
Mr. Cowboy is the nickname of Bob Lilly, a Hall of Fame defensive tackle renowned as one of the greatest players in Dallas Cowboys history.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00851c5b88190a296b6a105d3ee30 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee600340c8190a1888d35c2c1bc86 |
completed | May 9, 2026, 7:45 a.m. |
Created at: April 10, 2026, 3:14 a.m.