Triple
T28903183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Advertising Age "Commercial of the Decade" |
E733004
|
entity |
| Predicate | numberOfWinnersPerPeriod |
P6983
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Advertising Age "Commercial of the Decade", numberOfWinnersPerPeriod, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWinnersPerPeriod Context triple: [Advertising Age "Commercial of the Decade", numberOfWinnersPerPeriod, 1]
-
A.
numberOfWinnersPerSeason
Indicates the relationship that specifies how many winners are associated with each individual season.
-
B.
termNumberWon
Indicates the number of distinct terms or periods in which the subject has achieved a win or victory.
-
C.
periodsPlayed
Indicates the number of distinct time periods during which an entity was active, involved, or participating in something.
-
D.
winnerCount
chosen
Indicates the number of entities that are designated as winners in a given context or event.
-
E.
numberOfHonoreesPerPeriod
Indicates the count of honorees associated with each defined time period.
- 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_69f05b08c2008190ac426a035a2ed66d |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69ffac35ac5481908b6bdfd5bbe8c76e |
completed | May 9, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69ffabbfd2548190964c851496bbbaee |
completed | May 9, 2026, 9:48 p.m. |
Created at: April 28, 2026, 8:04 a.m.