Triple
T10790756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John W. Young |
E254571
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Young |
E117890
|
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: Young | Statement: [John W. Young, familyName, Young]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Young Context triple: [John W. Young, familyName, Young]
-
A.
Young
Young is a regional town in New South Wales, Australia, historically known for its gold rush heritage and cherry production.
-
B.
Young
chosen
Young is a common English surname borne by numerous notable individuals across diverse fields such as politics, civil rights, science, and the arts.
-
C.
Youth
Youth is a British musician and record producer best known as the bassist and founding member of the band Killing Joke and for his influential work in post-punk and electronic music.
-
D.
Youth
"Youth" is a semi-autobiographical novel by Leo Tolstoy that continues the life story begun in "Childhood" and "Boyhood," exploring the moral and psychological development of a young man.
-
E.
Youth
Youth is the introspective, nameless young Black protagonist of the rock musical "Passing Strange," whose journey of self-discovery drives the show’s narrative.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732f5b8248190a633dc44ae620a3a |
completed | April 9, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de5637ec50819087f1a0372f89197d |
completed | April 14, 2026, 2:59 p.m. |
Created at: April 8, 2026, 9:17 p.m.