Triple
T20059257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cross |
E499424
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | James 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: James Cross | Statement: [Cross, hasNotableBearer, James Cross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Cross Context triple: [Cross, hasNotableBearer, James Cross]
-
A.
James Cross
chosen
James Cross is a character in the 1988 Christmas comedy film "Scrooged," appearing as a relative of the main character Frank Cross.
-
B.
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.
-
C.
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."
-
D.
William Cross
William Cross is a personal name shared by several notable individuals across fields such as politics, sports, and academia.
-
E.
Roger Cross
Roger Cross is a Canadian actor known for prominent roles in science fiction and action television series, including major parts in shows like 24 and Continuum.
- 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.