Triple
T19546470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lane Bradford |
E489064
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | The Texan (TV series) |
—
|
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: The Texan (TV series) | Statement: [Lane Bradford, appearedIn, The Texan (TV series)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Texan (TV series) Context triple: [Lane Bradford, appearedIn, The Texan (TV series)]
-
A.
The Texan
chosen
The Texan is a late-1950s American Western television series starring Rory Calhoun as a wandering gunfighter in post-Civil War Texas.
-
B.
The Texan
"The Texan" is a 1950s American Western film featuring actress Mara Corday in one of her notable screen roles.
-
C.
Men of Texas
Men of Texas is a 1942 American Western film featuring actress Anne Gwynne in a prominent role.
-
D.
The Tall Texan
The Tall Texan is a 1953 Western film featuring Lyle Bettger in a prominent role, centered on a perilous frontier expedition and conflicts over hidden gold.
-
E.
Texan Rider
Texan Rider is the costumed cowboy mascot representing Tarleton State University’s athletic teams and school spirit.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63876bacc8190b17e2087de679785 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.