Triple
T36670283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isleworth Mona Lisa |
E905391
|
entity |
| Predicate | expertReception |
P9562
|
FINISHED |
| Object | many Leonardo scholars remain unconvinced of Leonardo’s authorship |
—
|
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: many Leonardo scholars remain unconvinced of Leonardo’s authorship | Statement: [Isleworth Mona Lisa, expertReception, many Leonardo scholars remain unconvinced of Leonardo’s authorship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expertReception Context triple: [Isleworth Mona Lisa, expertReception, many Leonardo scholars remain unconvinced of Leonardo’s authorship]
-
A.
consultsOn
Indicates that one entity provides expert advice, guidance, or professional input to another entity regarding a specific subject, project, or decision.
-
B.
consultationSetting
Indicates the context or environment in which a consultation or advisory interaction takes place.
-
C.
reception
Indicates the act of receiving or welcoming someone or something, often marking the initial acknowledgment or acceptance in an interaction or process.
-
D.
typicalAppointment
Indicates that an appointment represents a standard, usual, or commonly occurring scheduling arrangement between entities.
-
E.
initialReception
chosen
Indicates the nature or quality of the first response or reaction something receives when it is introduced or presented.
- 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_69f76e6f10008190aea41746aa1b186e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c79dede081909607d64d3cd1aeb2 |
completed | May 3, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69f7c4796ebc819084a0dc08505e5f14 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:12 p.m.