Triple
T16994595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hope for Film |
E412280
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Ted Hope |
E412280
|
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 Hope | Statement: [Hope for Film, author, Ted Hope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Hope Context triple: [Hope for Film, author, Ted Hope]
-
A.
Ted Hope
chosen
Ted Hope is an American independent film producer known for championing innovative, auteur-driven cinema and co-founding the production company Good Machine.
-
B.
Robert Hopes
Robert Hopes is a screenwriter best known for his work on the crime drama film "Pride and Glory."
-
C.
Phil Hope
Phil Hope is a British Labour politician who served as a Member of Parliament and held various junior ministerial roles in government during the late 1990s and 2000s.
-
D.
Harry Hope
Harry Hope is the disillusioned, aging saloon owner whose bar serves as the central setting and symbolic refuge for the defeated characters in Eugene O’Neill’s play "The Iceman Cometh."
-
E.
Bill Heslop
Bill Heslop is a domineering, corrupt small-town Australian politician and the overbearing father of the protagonist in the film "Muriel's Wedding."
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d285f35881908c32b2f27ba7f0ac |
completed | April 18, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc16fbdc819095411a056b9942c3 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:32 a.m.