Triple
T37576652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABC 7 Detroit |
E934839
|
entity |
| Predicate | onAirBrandFor |
P124951
|
FINISHED |
| Object | WXYZ-TV |
—
|
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: WXYZ-TV | Statement: [ABC 7 Detroit, onAirBrandFor, WXYZ-TV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onAirBrandFor Context triple: [ABC 7 Detroit, onAirBrandFor, WXYZ-TV]
-
A.
operatorBrandNameFor
chosen
Indicates that a given brand name is used as the commercial or public-facing name for a particular operator.
-
B.
brandsAs
Indicates that one entity assigns a particular brand identity or label to another entity.
-
C.
audioBrand
Indicates a relationship where one entity serves as the audio-related brand or sound identity associated with another entity.
-
D.
hasBrandName
Indicates that an entity is associated with or identified by a specific brand name.
-
E.
televisionShowBrand
Indicates that a brand is associated with, sponsors, or is featured within a particular television show.
- 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_69f76ecd99148190be327e391a70f5b6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba61dff5081909fec88a7aeb0c8a1 |
completed | May 6, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69fba350e9a8819095893229d9643572 |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.