Triple
T1064830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leon H. Keyserling |
E22986
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Leon |
E79700
|
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: Leon | Statement: [Leon H. Keyserling, givenName, Leon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leon Context triple: [Leon H. Keyserling, givenName, Leon]
-
A.
Leon
chosen
Leon is a masculine given name of Greek origin meaning "lion," commonly used in various cultures worldwide.
-
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.
Sebaste
Sebaste was an ancient city in the central highlands of Samaria, refounded and expanded by Herod the Great as a major Hellenistic-Roman urban center.
-
E.
Luke
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.
- 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b90f91248190ace1534a51b82bdd |
completed | March 1, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac42a336388190a6d18fda8a7a151d |
completed | March 7, 2026, 3:22 p.m. |
Created at: March 1, 2026, 7:42 p.m.