Triple
T21218748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Mark |
E522908
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | John Mark |
—
|
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: John Mark | Statement: [Saint Mark, alsoKnownAs, John Mark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Mark Context triple: [Saint Mark, alsoKnownAs, John Mark]
-
A.
John Mark
chosen
John Mark is a New Testament figure traditionally regarded as the author of the Gospel of Mark and a companion of the apostles Peter and Paul.
-
B.
John Mark
John Mark was a British athlete best known for lighting the Olympic cauldron at the opening ceremony of the 1948 London Summer Olympics.
-
C.
Matthew Marks
Matthew Marks is an influential American art dealer and gallerist known for representing prominent contemporary artists through his eponymous gallery.
-
D.
Mark Arnold
Mark Arnold is an American actor best known for his role in the 1985 teen comedy film "Teen Wolf."
-
E.
Paul Clemens
Paul Clemens was the husband of American actress Eleanor Parker, known primarily in relation to her personal life rather than for a prominent public career of his own.
- 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_69e0b511ed84819099b449b4a111085c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7347613308190a1c9f4ea51591d4b |
completed | April 21, 2026, 8:25 a.m. |
Created at: April 16, 2026, 3:42 p.m.