Triple
T16741708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Multicam family |
E406848
|
entity |
| Predicate | includesPattern |
P8151
|
FINISHED |
| Object | MultiCam Raid |
E757261
|
NE FINISHED |
How this triple was built (2 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: MultiCam Raid | Statement: [Multicam family, includesPattern, MultiCam Raid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MultiCam Raid Context triple: [Multicam family, includesPattern, MultiCam Raid]
-
A.
MultiCam
chosen
MultiCam is a widely used camouflage pattern designed to provide effective concealment across a broad range of environments and lighting conditions, especially for military and tactical applications.
-
B.
Caméra One
Caméra One is a French film production company known for producing acclaimed art-house and auteur-driven movies.
-
C.
Megacam
Megacam is a wide-field optical imaging camera used on large ground-based telescopes for deep, high-resolution astronomical surveys.
-
D.
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.
-
E.
Camira
Camira is a compact family car model produced by Holden, the Australian subsidiary of General Motors, during the 1980s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c3f49808190b543d8da34031f3d |
completed | April 18, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d52d88081909695a08d00bd2257 |
completed | May 10, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:21 a.m.