Triple
T11447211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Are You There God? It’s Me, Margaret. |
E271295
|
entity |
| Predicate | cinematographer |
P1953
|
FINISHED |
| Object |
Tim Ives
Tim Ives is an American cinematographer known for his work on acclaimed film and television projects, including series like "Stranger Things" and "Girls."
|
E926436
|
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: Tim Ives | Statement: [Are You There God? It’s Me, Margaret., cinematographer, Tim Ives]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Ives Context triple: [Are You There God? It’s Me, Margaret., cinematographer, Tim Ives]
-
A.
Ben Templesmith
Ben Templesmith is an Australian comic book artist and writer best known for his distinctive, atmospheric horror artwork on titles such as "30 Days of Night" and "Fell."
-
B.
Mike Gill
Mike Gill is a New Zealand mountaineer known for pioneering Himalayan ascents, including the first ascent of Thamserku.
-
C.
Dan Wyllie
Dan Wyllie is an Australian actor known for his work in film, television, and theatre, including prominent roles in acclaimed Australian dramas.
-
D.
Mark Stevens
Mark Stevens was an American film and television actor best known for his roles in 1940s and 1950s dramas and film noir.
-
E.
Mark Stevens
Mark Stevens is a film editor known for his work on the thriller "Phone Booth."
- 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: Tim Ives Triple: [Are You There God? It’s Me, Margaret., cinematographer, Tim Ives]
Generated description
Tim Ives is an American cinematographer known for his work on acclaimed film and television projects, including series like "Stranger Things" and "Girls."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tim Ives Target entity description: Tim Ives is an American cinematographer known for his work on acclaimed film and television projects, including series like "Stranger Things" and "Girls."
-
A.
Ben Templesmith
Ben Templesmith is an Australian comic book artist and writer best known for his distinctive, atmospheric horror artwork on titles such as "30 Days of Night" and "Fell."
-
B.
Mike Gill
Mike Gill is a New Zealand mountaineer known for pioneering Himalayan ascents, including the first ascent of Thamserku.
-
C.
Dan Wyllie
Dan Wyllie is an Australian actor known for his work in film, television, and theatre, including prominent roles in acclaimed Australian dramas.
-
D.
Mark Stevens
Mark Stevens was an American film and television actor best known for his roles in 1940s and 1950s dramas and film noir.
-
E.
Mark Stevens
Mark Stevens is a film editor known for his work on the thriller "Phone Booth."
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d81c6d4890819082fb4a670feb2629 |
completed | April 9, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d3bdafb08190aadf5d63facfedaf |
completed | April 20, 2026, 7:20 a.m. |
| NEDg | Description generation | batch_69e5d7e46e248190aba139dc32185e2f |
completed | April 20, 2026, 7:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5e192297c8190992578f734e63427 |
completed | April 20, 2026, 8:19 a.m. |
Created at: April 8, 2026, 9:35 p.m.