Triple
T22313933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AFI's 100 Years...100 Stars |
E551592
|
entity |
| Predicate | includesListOf |
P63353
|
FINISHED |
| Object | 25 greatest male screen legends |
—
|
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: 25 greatest male screen legends | Statement: [AFI's 100 Years...100 Stars, includesListOf, 25 greatest male screen legends]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesListOf Context triple: [AFI's 100 Years...100 Stars, includesListOf, 25 greatest male screen legends]
-
A.
includesList
chosen
Indicates that one entity contains or encompasses a specified list of other entities as its elements or members.
-
B.
isListOf
Indicates that one entity is a collection or sequence whose elements are instances or members of another specified entity.
-
C.
includesElement
Indicates that one collection, set, or structure contains a specified element as a member or component.
-
D.
includesListedOn
Indicates that one entity contains or references another entity that is recorded or displayed on a specific list or listing.
-
E.
isOneOf
Indicates that an entity belongs to a specified set or list of possible values.
- 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15751bf208190b8938a00d1afd157 |
completed | April 29, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69e73004d9e88190bb862319a5aea06b |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:42 p.m.