Triple
T1407999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daryl Dixon |
E31739
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dixon |
E117956
|
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: Dixon | Statement: [Daryl Dixon, familyName, Dixon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dixon Context triple: [Daryl Dixon, familyName, Dixon]
-
A.
Dixon
chosen
Dixon is a small agricultural city in Northern California known historically for sheep ranching and its annual May Fair.
-
B.
Dix
Dix is the surname of Dorothea Dix, the 19th-century American social reformer known for her pioneering work in mental health care and prison reform.
-
C.
Dyer
Dyer is a surname most infamously associated with British officer Reginald Dyer, known for ordering the 1919 Jallianwala Bagh massacre in Amritsar, India.
-
D.
Dedridge
Dedridge is a residential neighbourhood within the new town of Livingston in West Lothian, Scotland.
-
E.
Douglas
Douglas is a small lakeside city in Allegan County, Michigan, known for its arts community and proximity to Lake Michigan beaches.
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3bf7f0c8190aee96818de6ff4a5 |
completed | March 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad08ae530081909695bde0d9c46d41 |
completed | March 8, 2026, 5:27 a.m. |
Created at: March 1, 2026, 7:59 p.m.