Triple
T19866300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | This Is My Life |
E477399
|
entity |
| Predicate | hasInfluenceOnImageOf |
P87217
|
FINISHED |
| Object | Shirley Bassey as a dramatic diva |
—
|
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: Shirley Bassey as a dramatic diva | Statement: [This Is My Life, hasInfluenceOnImageOf, Shirley Bassey as a dramatic diva]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInfluenceOnImageOf Context triple: [This Is My Life, hasInfluenceOnImageOf, Shirley Bassey as a dramatic diva]
-
A.
imagedBy
Indicates that something is captured, recorded, or represented in an image created by a particular imaging device, method, or agent.
-
B.
evokesImageOf
Indicates that one entity triggers or brings to mind a mental image or visual representation of another entity.
-
C.
imagedIn
Indicates that one entity appears within or is depicted in an image associated with another entity.
-
D.
imageOf
Indicates that one entity is a visual representation or depiction of another entity.
-
E.
wereInfluencedBy
chosen
Indicates that one entity’s ideas, actions, or characteristics were shaped or affected by 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6589f9654819080597a4f7c52d64c |
completed | April 20, 2026, 4:47 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.