Triple
T4901256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ansel Adams |
E109802
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Camera
The Camera is a seminal photography book by Ansel Adams that explores the technical and artistic use of cameras in creating expressive photographs.
|
E478453
|
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: The Camera | Statement: [Ansel Adams, notableWork, The Camera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Camera Context triple: [Ansel Adams, notableWork, The Camera]
-
A.
Camira
Camira is a compact family car model produced by Holden, the Australian subsidiary of General Motors, during the 1980s.
-
B.
I Am a Camera
"I Am a Camera" is a 1981 synth-pop song by British new wave duo The Buggles, known for its futuristic sound and lyrical themes of observation and media.
-
C.
I Am a Camera
I Am a Camera is a 1951 play by John Van Druten, adapted from Christopher Isherwood’s Berlin Stories and best known as the stage precursor to the musical Cabaret.
-
D.
Kwamera
Kwamera is an Oceanic language spoken by indigenous communities on Tanna Island in Vanuatu.
-
E.
Aperture
Aperture was Apple’s professional photo editing and management application for macOS, aimed at photographers needing advanced workflow and image processing tools.
- 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: The Camera Triple: [Ansel Adams, notableWork, The Camera]
Generated description
The Camera is a seminal photography book by Ansel Adams that explores the technical and artistic use of cameras in creating expressive photographs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Camera Target entity description: The Camera is a seminal photography book by Ansel Adams that explores the technical and artistic use of cameras in creating expressive photographs.
-
A.
Camira
Camira is a compact family car model produced by Holden, the Australian subsidiary of General Motors, during the 1980s.
-
B.
I Am a Camera
"I Am a Camera" is a 1981 synth-pop song by British new wave duo The Buggles, known for its futuristic sound and lyrical themes of observation and media.
-
C.
I Am a Camera
I Am a Camera is a 1951 play by John Van Druten, adapted from Christopher Isherwood’s Berlin Stories and best known as the stage precursor to the musical Cabaret.
-
D.
Kwamera
Kwamera is an Oceanic language spoken by indigenous communities on Tanna Island in Vanuatu.
-
E.
Aperture
Aperture was Apple’s professional photo editing and management application for macOS, aimed at photographers needing advanced workflow and image processing tools.
- 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_69bd441180708190ba42ffb44fea533a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e4dd6bc819094b1cbf533510995 |
completed | March 20, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6fd2a0348190a285ea1a62e7ae1b |
completed | March 21, 2026, 10:15 a.m. |
| NEDg | Description generation | batch_69be707405008190ba1456544e8da593 |
completed | March 21, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be70e5537c8190b4db230932818a9c |
completed | March 21, 2026, 10:20 a.m. |
Created at: March 20, 2026, 1:28 p.m.