Triple
T20385282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AFI's 100 Years...100 Heroes & Villains |
E497942
|
entity |
| Predicate | totalCharactersRanked |
P32078
|
FINISHED |
| Object | 100 |
—
|
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: 100 | Statement: [AFI's 100 Years...100 Heroes & Villains, totalCharactersRanked, 100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalCharactersRanked Context triple: [AFI's 100 Years...100 Heroes & Villains, totalCharactersRanked, 100]
-
A.
numberOfCharacters
chosen
Indicates the total count of individual characters present in a given text, string, or entity’s representation.
-
B.
numberOfPlayableCharacters
Indicates the total count of distinct characters that can be actively controlled or played by a user in a game or interactive experience.
-
C.
totalChampionsCount
Indicates the total number of champions associated with or involved in a given context or entity.
-
D.
totalCharactersInStandard
Indicates the total number of characters defined within a given standard or specification.
-
E.
totalCharactersAfterRelease
Indicates the total number of characters that exist in a work or product after its release (including any additions or updates made post-launch).
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790a31a4819099b2e6df2bafe547 |
completed | April 20, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69e57648be3c81908256838228cabf5c |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:28 a.m.