Triple
T5852340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evan Schiff |
E130064
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Super
Super is a film edited by Evan Schiff, known for its darkly comedic and unconventional take on the superhero genre.
|
E550147
|
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: Super | Statement: [Evan Schiff, notableWork, Super]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Super Context triple: [Evan Schiff, notableWork, Super]
-
A.
Super
Super is a 2016 synth-pop album by English duo Pet Shop Boys, known for its dance-oriented production and collaboration with producer Stuart Price.
-
B.
Super W
Super W is Australia's premier professional women's rugby union competition, featuring top regional teams in a national tournament.
-
C.
The Super
The Super is a 2017 American thriller film about a former cop who becomes the superintendent of a New York City apartment building where tenants begin mysteriously disappearing.
-
D.
Superjumbo
Superjumbo is the popular nickname for the Airbus A380, the world’s largest passenger airliner known for its double-deck design and high capacity.
-
E.
Superstar
"Superstar" is a popular hip-hop single by American rapper Lupe Fiasco, known for its introspective lyrics about fame and the pressures of success.
- 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: Super Triple: [Evan Schiff, notableWork, Super]
Generated description
Super is a film edited by Evan Schiff, known for its darkly comedic and unconventional take on the superhero genre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Super Target entity description: Super is a film edited by Evan Schiff, known for its darkly comedic and unconventional take on the superhero genre.
-
A.
Super
Super is a 2016 synth-pop album by English duo Pet Shop Boys, known for its dance-oriented production and collaboration with producer Stuart Price.
-
B.
Super W
Super W is Australia's premier professional women's rugby union competition, featuring top regional teams in a national tournament.
-
C.
The Super
The Super is a 2017 American thriller film about a former cop who becomes the superintendent of a New York City apartment building where tenants begin mysteriously disappearing.
-
D.
Superjumbo
Superjumbo is the popular nickname for the Airbus A380, the world’s largest passenger airliner known for its double-deck design and high capacity.
-
E.
Superstar
"Superstar" is a soulful R&B ballad performed by American singer Ruben Studdard, widely associated with his rise to fame after winning American Idol.
- 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_69c0084de39081909eb34e6bed74215a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0355038008190bf38980349b533e2 |
completed | March 22, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1b8f8508190942ce1725884d254 |
completed | March 23, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69c0a30d66088190b6e37a95527b273d |
completed | March 23, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0a364931c81908d595d74cb4f9a7b |
completed | March 23, 2026, 2:20 a.m. |
Created at: March 22, 2026, 3:55 p.m.