Triple
T21369266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Hornbeck |
E527007
|
entity |
| Predicate | associatedWithTechnology |
P1485
|
FINISHED |
| Object | DLP |
—
|
NE NERFINISHED |
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: DLP | Statement: [Larry Hornbeck, associatedWithTechnology, DLP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DLP Context triple: [Larry Hornbeck, associatedWithTechnology, DLP]
-
A.
DLP
DLP is a music producer known for working on projects such as the release "The Meth Lab."
-
B.
DLP technology
chosen
DLP technology is a digital display and projection system that uses microscopic mirrors to modulate light and create high-quality images in projectors and related devices.
-
C.
DCP
DCP is the New York City agency responsible for guiding land use, zoning, and long-term urban planning across the five boroughs.
-
D.
DCP
DCP is the commonly used acronym for the American Physical Society's Division of Chemical Physics, which focuses on research at the interface of chemistry and physics.
-
E.
DVLP
DVLP is a hip-hop music producer best known for crafting beats for major artists such as Lil Wayne, including work on the influential album "Tha Carter II."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0ad04e081908ff02b2ee2bc7485 |
completed | April 22, 2026, 11:27 a.m. |
Created at: April 16, 2026, 5:09 p.m.