Triple
T16056299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wishmaster |
E389488
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Tony Todd |
E1083522
|
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: Tony Todd | Statement: [Wishmaster, castMember, Tony Todd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Todd Context triple: [Wishmaster, castMember, Tony Todd]
-
A.
Tony Todd
chosen
Tony Todd is an American actor best known for his commanding presence in horror films, particularly his iconic role as the title character in the "Candyman" franchise.
-
B.
Doug Bradley
Doug Bradley is an English actor best known for playing the iconic horror character Pinhead in the Hellraiser film series.
-
C.
Donald Pleasence
Donald Pleasence was an English character actor renowned for his intense performances in film and television, including iconic roles in the "Halloween" series and "The Great Escape."
-
D.
Lance Henriksen
Lance Henriksen is an American character actor best known for his intense performances in science fiction and horror films such as the Alien franchise and the TV series Millennium.
-
E.
Udo Kier
Udo Kier is a German actor known for his distinctive, often eccentric performances in European art-house films and cult horror movies, as well as numerous international productions.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837579488190964ca004c2eb01c4 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe47a92608190993fe7f2c5957019 |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:56 a.m.