Triple
T20059237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cross |
E499424
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Ben 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: Ben Cross | Statement: [Cross, hasNotableBearer, Ben Cross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Cross Context triple: [Cross, hasNotableBearer, Ben Cross]
-
A.
Ben Cross
chosen
Ben Cross was a British actor best known for his breakthrough role as Olympic runner Harold Abrahams in the film "Chariots of Fire."
-
B.
Anthony Calf
Anthony Calf is a British actor known for his extensive work in television, film, and theatre, including roles in series such as "New Tricks" and "Holby City."
-
C.
Christopher Atkins
Christopher Atkins is an American actor best known for his breakout role in the 1980 film "The Blue Lagoon."
-
D.
David Leahy
David Leahy is a notable individual recognized for achievements significant enough to be associated with the surname Leahy.
-
E.
Jonathan LaPaglia
Jonathan LaPaglia is an Australian actor and television host best known for roles in series like "The District" and as the host of "Australian Survivor."
- 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.