Triple
T4626154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wild Things |
E101101
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Rodney Liber
Rodney Liber is a film producer best known for his work on movies such as the erotic thriller "Wild Things."
|
E456426
|
NE FINISHED |
How this triple was built (4 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: Rodney Liber | Statement: [Wild Things, producer, Rodney Liber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rodney Liber Context triple: [Wild Things, producer, Rodney Liber]
-
A.
Rodney Wallace
Rodney Wallace is a Costa Rican professional soccer player best known for scoring the opening goal in the Portland Timbers’ victory in the 2015 MLS Cup.
-
B.
Mike Rodden
Mike Rodden is a musician best known as a member of the American rock band Hinder.
-
C.
Brad Dorros
Brad Dorros is a film and television producer known for his work on projects such as the thriller "The Fifth Estate."
-
D.
Ronnie Knox
Ronnie Knox was an American football quarterback active in the 1950s, known for his college career at UCLA and California and a brief stint in the NFL and CFL.
-
E.
Jerry Seeman
Jerry Seeman was a prominent NFL official who served as a referee in multiple Super Bowls and later became the league’s Director of Officiating.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rodney Liber Triple: [Wild Things, producer, Rodney Liber]
Generated description
Rodney Liber is a film producer best known for his work on movies such as the erotic thriller "Wild Things."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rodney Liber Target entity description: Rodney Liber is a film producer best known for his work on movies such as the erotic thriller "Wild Things."
-
A.
Rodney Wallace
Rodney Wallace is a Costa Rican professional soccer player best known for scoring the opening goal in the Portland Timbers’ victory in the 2015 MLS Cup.
-
B.
Mike Rodden
Mike Rodden is a musician best known as a member of the American rock band Hinder.
-
C.
Brad Dorros
Brad Dorros is a film and television producer known for his work on projects such as the thriller "The Fifth Estate."
-
D.
Ronnie Knox
Ronnie Knox was an American football quarterback active in the 1950s, known for his college career at UCLA and California and a brief stint in the NFL and CFL.
-
E.
Jerry Seeman
Jerry Seeman was a prominent NFL official who served as a referee in multiple Super Bowls and later became the league’s Director of Officiating.
- F. None of above. chosen
Provenance (5 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a0a7b588190bc6552ee5babb198 |
completed | March 20, 2026, 2:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfaab30508190881828adab92ba22 |
completed | March 21, 2026, 1:55 a.m. |
| NEDg | Description generation | batch_69bdfb56021081909b23d22770bf3c88 |
completed | March 21, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfbeddd7c8190955bd3363fec4ca1 |
completed | March 21, 2026, 2:01 a.m. |
Created at: March 20, 2026, 1:13 p.m.