Triple
T12794836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renfield (2023 film) |
E305860
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Teddy Lobo |
E860656
|
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: Teddy Lobo | Statement: [Renfield (2023 film), featuresCharacter, Teddy Lobo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teddy Lobo Context triple: [Renfield (2023 film), featuresCharacter, Teddy Lobo]
-
A.
Ramon Tikaram
chosen
Ramon Tikaram is a British actor known for his work in television, film, and theatre, including prominent roles in UK drama series.
-
B.
Hal Pereira
Hal Pereira was a prominent American art director and production designer known for his influential visual work on numerous classic Hollywood films.
-
C.
Dennis de Brito
Dennis de Brito is known primarily as the husband of Dutch-born American actress Nina Foch.
-
D.
Frank Pereira
Frank Pereira is a researcher known for his work in machine learning and related fields, including collaborations with prominent scientists such as Léon Bottou.
-
E.
Jerome Teelucksingh
Jerome Teelucksingh is a Trinidadian academic and activist best known for reviving and promoting International Men's Day as a global observance focused on men's health, positive male role models, and gender relations.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6ca0288190aba01735b71a01da |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6850ac1808190a9b547d934252d10 |
completed | May 2, 2026, 11:13 p.m. |
Created at: April 9, 2026, 5:30 p.m.