Triple
T8344446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tavon Young |
E195999
|
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: [Tavon Young, familyName, Young]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Young Context triple: [Tavon 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 section of Peter Kropotkin’s autobiographical work *Memoirs of a Revolutionist*, recounting his early life and formative experiences.
-
D.
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.
-
E.
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.
- 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_69ca82edd63c8190b876b8465464c5fa |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fed6b588190ba5593859c8effc2 |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc733f7848190ab60098cb178dbfc |
completed | April 2, 2026, 1:32 a.m. |
Created at: March 30, 2026, 5:58 p.m.