Triple
T19076150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elon the Zebulunite |
E466907
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Elon |
—
|
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: Elon | Statement: [Elon the Zebulunite, name, Elon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elon Context triple: [Elon the Zebulunite, name, Elon]
-
A.
Elon
chosen
Elon is a minor biblical judge of Israel mentioned in the Book of Judges.
-
B.
Elone
Elone was an ancient city of Perrhaebia in northern Thessaly, Greece, known from classical historical and geographical sources.
-
C.
Musk
Musk is a prominent surname most widely associated with entrepreneur Elon Musk and his family, including businessman and restaurateur Kimbal Musk.
-
D.
Karsen
Karsen is a given name that can be used for people of any gender.
-
E.
Tyrell
Tyrell is a prominent noble house in the world of "Game of Thrones" and "A Song of Ice and Fire," known for its wealth, influence, and rule over the fertile Reach from its seat at Highgarden.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e49c7c8190b6ce7b918086b23c |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 10, 2026, 12:04 p.m.