Triple
T804773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luke Nosek |
E17405
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Luke |
E31566
|
NE 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: Luke | Statement: [Luke Nosek, givenName, Luke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luke Context triple: [Luke Nosek, givenName, Luke]
-
A.
Luke
chosen
Luke is traditionally regarded as the author of the Gospel of Luke and the Acts of the Apostles in the New Testament, and is thought to have been a physician and companion of the Apostle Paul.
-
B.
Lewis
"Lewis" is a notable film or television work featuring British actor Edward Fox, recognized as part of his distinguished acting career.
-
C.
Lewis
Lewis is a common English surname borne by numerous notable individuals across politics, civil rights, arts, and sports.
-
D.
Adam
Adam is the first human in Abrahamic religious traditions, whose disobedience in Eden is believed to have introduced sin into the human condition.
-
E.
Jeffrey
Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4aabff3d88190bec4299fa0d87df0 |
completed | March 1, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a93395f2d8819082d622d1d6415073 |
completed | March 5, 2026, 7:41 a.m. |
Created at: March 1, 2026, 7:38 p.m.