Triple
T21369261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Hornbeck |
E527007
|
entity |
| Predicate | fieldOfUseOfInvention |
P8461
|
FINISHED |
| Object | digital cinema projection |
—
|
LITERAL 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: digital cinema projection | Statement: [Larry Hornbeck, fieldOfUseOfInvention, digital cinema projection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldOfUseOfInvention Context triple: [Larry Hornbeck, fieldOfUseOfInvention, digital cinema projection]
-
A.
partOfUse
Indicates that something functions as a component or constituent within the use or application of something else.
-
B.
endedUseWith
Indicates that an entity has stopped or terminated its use or association with another entity.
-
C.
isBelievedToBeUsedFor
Indicates that something is thought or assumed to serve a particular purpose or function, without certainty.
-
D.
usedFor
Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
-
E.
usedInIndustry
chosen
Indicates that something is employed or applied within a particular industry or industrial sector.
- F. None of above.
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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0ad04e081908ff02b2ee2bc7485 |
completed | April 22, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 5:09 p.m.