Triple
T24590257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBC peacock logo (1986) |
E608511
|
entity |
| Predicate | employerOfDesigner |
P81282
|
FINISHED |
| Object | NBC |
E2196
|
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: NBC | Statement: [NBC peacock logo (1986), employerOfDesigner, NBC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employerOfDesigner Context triple: [NBC peacock logo (1986), employerOfDesigner, NBC]
-
A.
designerEmployer
chosen
Indicates that one entity is the employer or employing organization of a designer in relation to a design activity or role.
-
B.
companyOfDesigner
Indicates that a company is the employer or business affiliation of a given designer.
-
C.
designerOccupation
Indicates that one entity serves as the professional designer or design specialist for another entity.
-
D.
employerOfCreator
Indicates that one entity is the employer of the entity that created another entity.
-
E.
designerPreviouslyWorkedOn
Indicates that a designer has worked on the same or a related project in the past, prior to the current context or engagement.
- F. None of above.
Provenance (4 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_69e2c4ce89248190ad99e18f0638dfbb |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a9da6eb881909b11d4d4cec8e458 |
completed | April 30, 2026, 1:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ff856e84081909be6da868a38483d |
completed | May 22, 2026, 6:31 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:30 a.m.