Triple
T21891865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maggie Renzi |
E540569
|
entity |
| Predicate | producerOf |
P490
|
FINISHED |
| Object | Lone Star |
—
|
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: Lone Star | Statement: [Maggie Renzi, producerOf, Lone Star]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lone Star Context triple: [Maggie Renzi, producerOf, Lone Star]
-
A.
Lone Star
chosen
Lone Star is a 1996 neo-Western mystery film directed by John Sayles, acclaimed for its complex exploration of race, history, and community along the Texas–Mexico border.
-
B.
Lone Star
Lone Star is the nickname of the national flag of Liberia, symbolizing the country's status as Africa's first independent republic.
-
C.
Lone Star
Lone Star is a short-lived but critically acclaimed American television drama series that aired on Fox in 2010, centered on a charismatic con man leading a dangerous double life in Texas.
-
D.
The Lone Star
The Lone Star is a popular nickname for the national flag of Chile, highlighting its single prominent white star on a blue field.
-
E.
Texana
Texana is a category of historical materials, artifacts, and literature specifically related to the history, culture, and people of 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_69e0c47a95908190ae3e19b716accb3d |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fc3727c8190b4d5d5a44aa2e55e |
completed | April 28, 2026, 8:59 p.m. |
Created at: April 16, 2026, 7:06 p.m.