Triple
T12530475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew Lillard |
E299548
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object |
Cereal Killer
Cereal Killer is the eccentric, hacker alter ego portrayed by Matthew Lillard in the 1995 cyberpunk film "Hackers."
|
E986264
|
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: Cereal Killer | Statement: [Matthew Lillard, characterPortrayed, Cereal Killer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cereal Killer Context triple: [Matthew Lillard, characterPortrayed, Cereal Killer]
-
A.
Goodbye Bread
"Goodbye Bread" is a 2011 garage and psychedelic rock album by American musician Ty Segall, noted for its more melodic, songwriter-focused approach compared to his earlier, noisier work.
-
B.
The Biscuit Eater
The Biscuit Eater is a 1940 American drama film about a boy and his misfit bird dog, directed by Stuart Heisler and later remade by Disney in 1972.
-
C.
The Mess
"The Mess" is a song that appears as the B-side to the single "My Love."
-
D.
Special K
Special K is a music producer best known for his work with the hip hop group Conspiracy.
-
E.
Special K
Special K is a popular Kellogg’s breakfast cereal brand known for its lightly toasted flakes and association with weight management and healthy eating.
- 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: Cereal Killer Triple: [Matthew Lillard, characterPortrayed, Cereal Killer]
Generated description
Cereal Killer is the eccentric, hacker alter ego portrayed by Matthew Lillard in the 1995 cyberpunk film "Hackers."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cereal Killer Target entity description: Cereal Killer is the eccentric, hacker alter ego portrayed by Matthew Lillard in the 1995 cyberpunk film "Hackers."
-
A.
Goodbye Bread
"Goodbye Bread" is a 2011 garage and psychedelic rock album by American musician Ty Segall, noted for its more melodic, songwriter-focused approach compared to his earlier, noisier work.
-
B.
The Biscuit Eater
The Biscuit Eater is a 1940 American drama film about a boy and his misfit bird dog, directed by Stuart Heisler and later remade by Disney in 1972.
-
C.
The Mess
"The Mess" is a song that appears as the B-side to the single "My Love."
-
D.
Special K
Special K is a music producer best known for his work with the hip hop group Conspiracy.
-
E.
Special K
Special K is a popular Kellogg’s breakfast cereal brand known for its lightly toasted flakes and association with weight management and healthy eating.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95469d100819087c83bc55e3ec9ce |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bc674e881908673e1f9103cc8be |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64c7d337c81909ee9ea52158a756f |
completed | May 2, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64d653b988190b11d061f55ef7192 |
completed | May 2, 2026, 7:15 p.m. |
Created at: April 8, 2026, 9:57 p.m.