Triple
T26312386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salvatore Del Deo |
E661860
|
entity |
| Predicate | hasNotableWorkLocation |
P53597
|
FINISHED |
| Object | Cape Cod fishing and harbor scenes |
—
|
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: Cape Cod fishing and harbor scenes | Statement: [Salvatore Del Deo, hasNotableWorkLocation, Cape Cod fishing and harbor scenes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableWorkLocation Context triple: [Salvatore Del Deo, hasNotableWorkLocation, Cape Cod fishing and harbor scenes]
-
A.
hasWorksLocatedIn
chosen
Indicates that the works or creations associated with an entity are situated or stored in a specified location.
-
B.
hasNotableConnectionToWork
Indicates that there is a significant or noteworthy relationship, influence, or association between an entity and a particular work.
-
C.
workedInLocation
Indicates that an entity performed work or held a job in a specified geographic location or place.
-
D.
hasNotableWorkSection
Indicates that a notable work is associated with a specific section or part of a larger work or document.
-
E.
residesInWork
Indicates that a person or entity lives or is based within the location, setting, or environment defined by a particular work (such as a book, film, or other creative piece).
- 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_69ee812dacfc81908484aade9120fba9 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
Created at: April 26, 2026, 10:23 p.m.