Triple
T21561407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zane Grey |
E532042
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Lone Star Ranger |
—
|
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 Lone Star Ranger | Statement: [Zane Grey, notableWork, The Lone Star Ranger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Lone Star Ranger Context triple: [Zane Grey, notableWork, The Lone Star Ranger]
-
A.
The Lone Star Ranger
chosen
The Lone Star Ranger is a Western novel by Zane Grey that follows a Texas outlaw-turned-lawman navigating justice and redemption on the frontier.
-
B.
The Range Rider
The Range Rider is an American Western television series from the early 1950s starring stuntman-turned-actor Jock Mahoney as a heroic, justice-seeking cowboy.
-
C.
The Fighting Sheriff
The Fighting Sheriff is a 1931 American Western film starring cowboy actor Ken Maynard as a lawman battling outlaws.
-
D.
The Stranger from Texas
The Stranger from Texas is a 1939 American Western film featuring Dorothy Fay in a prominent role.
-
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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2e3e2348190b5c3b66cdc871e6e |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 16, 2026, 6:29 p.m.