Triple
T27956264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of Samuel Johnson |
E703557
|
entity |
| Predicate | depictsPersonPlaceOfDeath |
P51826
|
FINISHED |
| Object | London |
—
|
NE NERFINISHED |
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: London | Statement: [Portrait of Samuel Johnson, depictsPersonPlaceOfDeath, London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsPersonPlaceOfDeath Context triple: [Portrait of Samuel Johnson, depictsPersonPlaceOfDeath, London]
-
A.
placeOfDeath
Indicates the location where an entity (typically a person or animal) died.
-
B.
traditionalPlaceOfDeath
Indicates the location where a person is customarily or culturally considered to have died, according to traditional or historical accounts.
-
C.
hasHonoureePlaceOfDeath
Indicates the place where the honoured person died.
-
D.
placeOfApotheosis
Indicates the location where a being undergoes or has undergone apotheosis, i.e., is elevated to divine or godlike status.
-
E.
containsDeathOf
chosen
Indicates that the subject includes, depicts, or involves the death of the referenced 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_69ef840c8b2c8190946ae9522774ba51 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 27, 2026, 7:28 p.m.