Triple
T20059261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cross |
E499424
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Peter Cross |
—
|
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: Peter Cross | Statement: [Cross, hasNotableBearer, Peter Cross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Cross Context triple: [Cross, hasNotableBearer, Peter Cross]
-
A.
Peter Cross
chosen
Peter Cross is an English illustrator and artist best known for his detailed, whimsical artwork, including cover illustrations for science fiction and fantasy books.
-
B.
Andrew Cross
Andrew Cross is a relatively obscure individual whose name is shared with various professionals, making it difficult to attribute a single widely recognized identity without additional context.
-
C.
Robert Cross
Robert Cross is a relatively common personal name that may refer to multiple individuals across various fields rather than a single widely recognized figure.
-
D.
Michael Cross
Michael Cross is a relatively common personal name shared by multiple individuals across various professions, including arts, sports, and academia.
-
E.
Frank Cross
Frank Cross is the cynical, work-obsessed television executive portrayed by Bill Murray in the 1988 Christmas comedy film "Scrooged," a modern retelling of Charles Dickens' "A Christmas Carol."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66373e0e08190a6d8a10084eecc4d |
completed | April 20, 2026, 5:33 p.m. |
Created at: April 11, 2026, 3:38 p.m.