Triple
T16191139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timothy Dowling |
E392941
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Pixels |
E236196
|
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: Pixels | Statement: [Timothy Dowling, notableWork, Pixels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pixels Context triple: [Timothy Dowling, notableWork, Pixels]
-
A.
Pixels
chosen
Pixels is a 2015 science fiction comedy film in which classic video game characters attack Earth, prompting former arcade champions to defend the planet.
-
B.
Pixel
Pixel is Google's flagship line of Android smartphones known for their clean software experience and advanced camera capabilities.
-
C.
PIX
PIX is the IATA airport code for Pico Airport, which serves Pico Island in Portugal’s Azores archipelago.
-
D.
PIX
PIX (Patient Identifier Cross-referencing) is an IHE IT Infrastructure profile that enables the cross-referencing and sharing of patient identifiers across multiple clinical information systems and institutions.
-
E.
Pen & Pixel
Pen & Pixel is a graphic design firm famed for its flashy, hyper-stylized rap album covers that became iconic in Southern hip-hop during the 1990s and 2000s.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222d5769c8190bbb604bfa095a1a5 |
completed | April 17, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017a7223c81909f04144bdffb22ff |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:02 a.m.