Triple
T20126191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trixter |
E490762
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Peter Loran
Peter Loran is a member of the visual effects and animation studio Trixter, contributing to its creative production work.
|
E1435515
|
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: Peter Loran | Statement: [Trixter, hasMember, Peter Loran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Loran Context triple: [Trixter, hasMember, Peter Loran]
-
A.
Paul Rutman
Paul Rutman is a British television producer and writer known for his work on historical and drama series.
-
B.
Lester Melroe
Lester Melroe was an American inventor and entrepreneur best known for developing the compact skid-steer loader that led to the creation of the Bobcat brand.
-
C.
Fred Nauyoks
Fred Nauyoks was one of the three people murdered in the 1966 Lafayette Bar and Grill shootings in Paterson, New Jersey, a case that led to the controversial conviction of boxer Rubin "Hurricane" Carter.
-
D.
Harry Antrim
Harry Antrim was an American character actor known for his supporting roles in mid-20th-century films and television.
-
E.
Philip Garris
Philip Garris is an American artist best known for his iconic fantasy- and mythology-inspired album cover artwork, particularly for the Grateful Dead.
- 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: Peter Loran Triple: [Trixter, hasMember, Peter Loran]
Generated description
Peter Loran is a member of the visual effects and animation studio Trixter, contributing to its creative production work.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Loran Target entity description: Peter Loran is a member of the visual effects and animation studio Trixter, contributing to its creative production work.
-
A.
Paul Rutman
Paul Rutman is a British television producer and writer known for his work on historical and drama series.
-
B.
Lester Melroe
Lester Melroe was an American inventor and entrepreneur best known for developing the compact skid-steer loader that led to the creation of the Bobcat brand.
-
C.
Fred Nauyoks
Fred Nauyoks was one of the three people murdered in the 1966 Lafayette Bar and Grill shootings in Paterson, New Jersey, a case that led to the controversial conviction of boxer Rubin "Hurricane" Carter.
-
D.
Harry Antrim
Harry Antrim was an American character actor known for his supporting roles in mid-20th-century films and television.
-
E.
Philip Garris
Philip Garris is an American artist best known for his iconic fantasy- and mythology-inspired album cover artwork, particularly for the Grateful Dead.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6674223008190827c454fe7ac86f4 |
completed | April 20, 2026, 5:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a089d2103a481908c581faea7555df6 |
completed | May 16, 2026, 4:36 p.m. |
| NEDg | Description generation | batch_6a089db22fcc819094d595a3ce4e19a6 |
completed | May 16, 2026, 4:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a089e4c21d88190a6c1ddf8e0879cb1 |
completed | May 16, 2026, 4:41 p.m. |
Created at: April 11, 2026, 11:31 p.m.