Triple
T7374977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zapruder film |
E170100
|
entity |
| Predicate | famousFrame |
P34247
|
FINISHED |
| Object | frame 313 |
—
|
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: frame 313 | Statement: [Zapruder film, famousFrame, frame 313]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: famousFrame Context triple: [Zapruder film, famousFrame, frame 313]
-
A.
famousImage
chosen
Indicates that an image is widely recognized or well-known, typically due to its prominence, popularity, or cultural significance.
-
B.
fameFor
Indicates that one entity is widely known or recognized specifically because of, or in connection with, another entity.
-
C.
famousProgram
Indicates that a program is widely recognized or well-known, typically for its impact, quality, or popularity.
-
D.
famousInitiate
Indicates that an entity initiates or starts an action, event, or process in a way that is widely recognized or notable.
-
E.
famousVariant
Indicates that one entity is a well-known or widely recognized version or form of another entity.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1a780f88190abf11994e307b6ad |
completed | March 27, 2026, 9:07 p.m. |
| PD | Predicate disambiguation | batch_69c6f02ee3e08190a7a00c981129b22c |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:07 p.m.