Triple
T4256304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Le Mat |
E95981
|
entity |
| Predicate | castMemberOf |
P7010
|
FINISHED |
| Object | Puppet Master |
E424744
|
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: Puppet Master | Statement: [Paul Le Mat, castMemberOf, Puppet Master]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Puppet Master Context triple: [Paul Le Mat, castMemberOf, Puppet Master]
-
A.
Puppet Master
chosen
Puppet Master is a cult horror film series centered on living, murderous puppets animated by an ancient secret formula.
-
B.
Ghoulies
Ghoulies is a 1985 horror-comedy film about mischievous demonic creatures that became a cult favorite in the home-video era.
-
C.
MabThera
MabThera is Roche’s brand name for rituximab, a monoclonal antibody used primarily to treat certain types of blood cancers and autoimmune diseases.
-
D.
Tar Monster
The Tar Monster is a gooey, black, sludge-like creature from the Scooby-Doo franchise known for trapping victims in sticky tar and appearing as one of the villains in Scooby-Doo 2: Monsters Unleashed.
-
E.
Night Monster
Night Monster is a 1942 American horror film directed by Ford Beebe, featuring a mysterious series of murders at a secluded mansion and starring Bela Lugosi and Lionel Atwill.
- 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_69b3453f759881909b91f01a1e82c036 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ec1971c81908f7a72418efa8bcc |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c7151108819082b2f37945d6139e |
completed | March 14, 2026, 8:37 p.m. |
Created at: March 12, 2026, 11:06 p.m.