Triple
T1775685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TV Guide's 50 Greatest Commercials of All Time |
E38971
|
entity |
| Predicate | listLength |
P425
|
FINISHED |
| Object | 50 |
—
|
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: 50 | Statement: [TV Guide's 50 Greatest Commercials of All Time, listLength, 50]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: listLength Context triple: [TV Guide's 50 Greatest Commercials of All Time, listLength, 50]
-
A.
lengthInWords
Indicates the number of words that make up the length of something, typically a text or expression.
-
B.
numberOfStrings
Indicates the quantity of strings associated with or contained by an entity.
-
C.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
D.
wordLength
Indicates that there is a relationship specifying the number of characters (length) in a given word.
-
E.
collectionSize
chosen
Indicates the total number of items contained within a specified collection.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab17e368048190b7b73d156400f772 |
completed | March 6, 2026, 6:07 p.m. |
| PD | Predicate disambiguation | batch_69aa61cd4c1c8190a8dff391f5642bfe |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.