Triple
T256690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benjamin Franklin |
E5449
|
entity |
| Predicate | portraitImage |
P1852
|
FINISHED |
| Object | https://upload.wikimedia.org/wikipedia/commons/2/25/Benjamin_Franklin_by_Joseph_Duplessis_1778.jpg |
—
|
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: https://upload.wikimedia.org/wikipedia/commons/2/25/Benjamin_Franklin_by_Joseph_Duplessis_1778.jpg | Statement: [Benjamin Franklin, portraitImage, https://upload.wikimedia.org/wikipedia/commons/2/25/Benjamin_Franklin_by_Joseph_Duplessis_1778.jpg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraitImage Context triple: [Benjamin Franklin, portraitImage, https://upload.wikimedia.org/wikipedia/commons/2/25/Benjamin_Franklin_by_Joseph_Duplessis_1778.jpg]
-
A.
depictsPerson
chosen
Indicates that one entity visually represents or portrays a specific person.
-
B.
brandImage
Indicates the perceived overall impression, reputation, and associations that people hold about a particular brand.
-
C.
signatureImage
Indicates that an entity has an associated image that visually represents its signature.
-
D.
logoImage
Indicates the image that serves as the logo representing an entity.
-
E.
appearance
Indicates how something looks or seems to an observer, including its visible form, condition, or outward impression.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25d5884c88190a349d7593b688921 |
completed | Feb. 28, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69a25b694c08819085bb4b256fa7736f |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.