Triple
T20248530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fear Street Part Two: 1978 |
E498488
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Caleb Heymann
Caleb Heymann is a cinematographer known for his work on the horror film "Fear Street Part Two: 1978."
|
E1427908
|
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: Caleb Heymann | Statement: [Fear Street Part Two: 1978, cinematographyBy, Caleb Heymann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caleb Heymann Context triple: [Fear Street Part Two: 1978, cinematographyBy, Caleb Heymann]
-
A.
Caleb Hanie
Caleb Hanie is a former NFL quarterback best known for coming off the bench as the Chicago Bears’ third-string signal-caller in the 2010 NFC Championship Game.
-
B.
Caleb Goddard
Caleb Goddard is the son of American actress Susan Anspach and is known primarily for his connection to his parents in the entertainment industry.
-
C.
Caleb Snyder
Caleb Snyder is a member of the Snyder family, known primarily in relation to that family group.
-
D.
Caleb Speir
Caleb Speir is a writer known for his work on the television series "American Boy."
-
E.
Caleb Saleeby
Caleb Saleeby was a British physician and writer known as a prominent early 20th-century advocate of eugenics and social reform.
- 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: Caleb Heymann Triple: [Fear Street Part Two: 1978, cinematographyBy, Caleb Heymann]
Generated description
Caleb Heymann is a cinematographer known for his work on the horror film "Fear Street Part Two: 1978."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caleb Heymann Target entity description: Caleb Heymann is a cinematographer known for his work on the horror film "Fear Street Part Two: 1978."
-
A.
Caleb Hanie
Caleb Hanie is a former NFL quarterback best known for coming off the bench as the Chicago Bears’ third-string signal-caller in the 2010 NFC Championship Game.
-
B.
Caleb Goddard
Caleb Goddard is the son of American actress Susan Anspach and is known primarily for his connection to his parents in the entertainment industry.
-
C.
Caleb Snyder
Caleb Snyder is a member of the Snyder family, known primarily in relation to that family group.
-
D.
Caleb Speir
Caleb Speir is a writer known for his work on the television series "American Boy."
-
E.
Caleb Saleeby
Caleb Saleeby was a British physician and writer known as a prominent early 20th-century advocate of eugenics and social reform.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a5ce4081908dff86ed4c613fd6 |
completed | April 20, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087604669c81909a99c725fad640d5 |
completed | May 16, 2026, 1:49 p.m. |
| NEDg | Description generation | batch_6a0876f82dac8190a6c25fc0574a842a |
completed | May 16, 2026, 1:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0877ac99408190a31ee21894770334 |
completed | May 16, 2026, 1:57 p.m. |
Created at: April 11, 2026, 11:41 p.m.