Triple
T22171778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Texas Rangers (1936 film) |
E547936
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Elizabeth Hill |
—
|
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: Elizabeth Hill | Statement: [The Texas Rangers (1936 film), screenwriter, Elizabeth Hill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Hill Context triple: [The Texas Rangers (1936 film), screenwriter, Elizabeth Hill]
-
A.
Elizabeth Hill
Elizabeth Hill was the wife of acclaimed American film director King Vidor, associated with Hollywood's classic era.
-
B.
Elizabeth Hill
chosen
Elizabeth Hill was a screenwriter known for her work on the film "Our Daily Bread."
-
C.
Rachel Hill
Rachel Hill is an American professional soccer forward known for her time with the Chicago Red Stars in the National Women's Soccer League.
-
D.
Emma Hill
Emma Hill is a central figure portrayed in Ford Madox Brown’s painting "The Last of England," serving as the model for the emigrant wife in this iconic Victorian artwork.
-
E.
Emma Hill
Emma Hill is a central character in the psychological thriller TV series "The Following," known for her role within the show's cult-driven narrative.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a68c26c8190b1258595bd96cb63 |
completed | April 28, 2026, 9:45 p.m. |
Created at: April 16, 2026, 8:34 p.m.