Triple
T19828890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thinkfactory Media |
E476402
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Texas Rising |
—
|
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: Texas Rising | Statement: [Thinkfactory Media, notableWork, Texas Rising]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Texas Rising Context triple: [Thinkfactory Media, notableWork, Texas Rising]
-
A.
Texas Rising
chosen
Texas Rising is a historical drama miniseries that chronicles the Texas Revolution and the rise of the Texas Rangers in the 1830s.
-
B.
The Eyes of Texas
"The Eyes of Texas" is a traditional anthem closely associated with the University of Texas at Austin, widely recognized as a central part of Longhorns sports and school spirit.
-
C.
Trouble in Texas
Trouble in Texas is a 1937 American Western film featuring singing cowboy Tex Ritter in one of his early starring roles.
-
D.
The Texan
"The Texan" is a 1950s American Western film featuring actress Mara Corday in one of her notable screen roles.
-
E.
The Texan
The Texan is a late-1950s American Western television series starring Rory Calhoun as a wandering gunfighter in post-Civil War Texas.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656ccd3748190adeaed9a431f8979 |
completed | April 20, 2026, 4:39 p.m. |
Created at: April 10, 2026, 1:50 p.m.