Triple
T13393326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Walker |
E319628
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Lady from Texas |
E995797
|
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 Lady from Texas | Statement: [Joseph Walker, notableWork, The Lady from Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Lady from Texas Context triple: [Joseph Walker, notableWork, The Lady from Texas]
-
A.
The Lady from Texas
chosen
The Lady from Texas is a 1951 American Western comedy film featuring Josephine Hull in a prominent role.
-
B.
The Man from Texas
The Man from Texas is a 1948 American Western film featuring actor James Craig in a leading role.
-
C.
The Cowboy and the Lady
The Cowboy and the Lady is a 1938 romantic comedy film starring Gary Cooper and Merle Oberon that earned recognition for its sound recording at the Academy Awards.
-
D.
The Cowboy and the Lady
The Cowboy and the Lady is a 1922 silent Western film featuring actress Priscilla Bonner in a prominent role.
-
E.
The Lady from Cheyenne
The Lady from Cheyenne is a 1941 American Western comedy film about a determined schoolteacher who fights for women's suffrage in a small Wyoming town.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d74e5881909828854bba7d9a87 |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7306fb8348190a325a07a1ac858fd |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:34 p.m.