Triple
T31001256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wyatt |
E789943
|
entity |
| Predicate | hasLastNameInWork |
P195936
|
FINISHED |
| Object | unknown or unspecified |
—
|
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: unknown or unspecified | Statement: [Wyatt, hasLastNameInWork, unknown or unspecified]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLastNameInWork Context triple: [Wyatt, hasLastNameInWork, unknown or unspecified]
-
A.
hasFullNameInWork
Indicates that an entity is referred to by a specific full name within a particular work or publication.
-
B.
hasGivenNameInWork
Indicates that a work specifies or uses a particular given (first) name for an entity or character.
-
C.
isOccupationalSurname
Indicates that a surname originates from or is derived from a person’s occupation or trade.
-
D.
hasWorksIn
Indicates that one entity is employed by or performs their professional activities within the organization, location, or context represented by another entity.
-
E.
nameSharesWithWork
Indicates that an entity shares the same name as a specified work (such as a book, film, or other creative piece).
- F. None of above. chosen
Provenance (4 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_69f224c65a348190baaed1c01a29900c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fdf5d05cc481909ec9e1b1f0784279 |
completed | May 8, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69fdf0cdd6948190838864ab3120dfa6 |
completed | May 8, 2026, 2:18 p.m. |
| PDg | Predicate description generation | batch_69fdf5cfa1ec8190b80d887fa1bfb4cf |
completed | May 8, 2026, 2:40 p.m. |
Created at: April 29, 2026, 8:56 p.m.