Triple
T8958977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Byers |
E213550
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Byers |
E486703
|
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: Byers | Statement: [Jonathan Byers, familyName, Byers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Byers Context triple: [Jonathan Byers, familyName, Byers]
-
A.
Byers
chosen
Byers is the surname of Will Byers, a central character in the science fiction-horror television series "Stranger Things."
-
B.
Ayers
Ayers is a surname most notably associated with Roy Ayers, the influential American jazz-funk vibraphonist and composer.
-
C.
Ayers-Allen
Ayers-Allen is the hyphenated surname of American actress Phylicia Rashad, used earlier in her career before she adopted her current professional name.
-
D.
Hayes
Hayes is a common English surname borne by numerous notable figures in politics, entertainment, sports, and other fields.
-
E.
Hayes
Hayes is a suburban town in west London, England, known for its residential areas, transport links, and proximity to Heathrow Airport.
- 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_69ca8399ad2081909f8fa41d4314c215 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc672b12b48190a9d964f79b96d237 |
completed | April 1, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc946a2f88190b7cd0fca67d31dfd |
completed | April 3, 2026, 2:05 p.m. |
Created at: March 30, 2026, 7 p.m.