Triple
T5042323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terror in a Texas Town |
E113572
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Ted de Corsia |
E490154
|
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: Ted de Corsia | Statement: [Terror in a Texas Town, starring, Ted de Corsia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted de Corsia Context triple: [Terror in a Texas Town, starring, Ted de Corsia]
-
A.
Ted de Corsia
chosen
Ted de Corsia was an American character actor known for his tough-guy roles in classic film noir and crime movies of the mid-20th century.
-
B.
Greg Corrado
Greg Corrado is an American computer scientist and researcher known for his pioneering work in artificial intelligence and deep learning, including co-founding Google Brain.
-
C.
Greg D'Auria
Greg D'Auria is a film editor known for his work on major Hollywood productions, including the science fiction film "Star Trek Beyond."
-
D.
Roger de Lauria
Roger de Lauria was a renowned 13th-century admiral of the Crown of Aragon, celebrated for his decisive naval victories in the Mediterranean during the War of the Sicilian Vespers.
-
E.
Charles Cioffi
Charles Cioffi is an American character actor known for his supporting roles in film and television, particularly in dramas and crime series from the 1970s and 1980s.
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73df8f7481909a8b86c4ae69aab9 |
completed | March 20, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba5ec4308190aff8b1c4e494e0e2 |
completed | March 21, 2026, 3:33 p.m. |
Created at: March 20, 2026, 1:37 p.m.