Triple
T941240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jody Allen |
E20309
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Allen |
E105455
|
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: Allen | Statement: [Jody Allen, familyName, Allen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allen Context triple: [Jody Allen, familyName, Allen]
-
A.
Allen
chosen
Allen is a common English-language surname borne by numerous notable individuals across politics, sports, entertainment, and other fields.
-
B.
Anderson
Anderson is the birth surname of the acclaimed Canadian singer-songwriter Joni Mitchell.
-
C.
Azusa
Azusa is a suburban city in the San Gabriel Valley region of Los Angeles County, California, located at the foothills of the San Gabriel Mountains.
-
D.
Downey
Downey is the surname of American actor Robert Downey Jr., widely known for his versatile film career and iconic role as Iron Man in the Marvel Cinematic Universe.
-
E.
Riverside
Riverside is a major inland city in Southern California known as the birthplace of the California citrus industry and a key center of the Inland Empire region.
- 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b38cc6888190b1d9043ec8fbcbc3 |
completed | March 1, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a826e30c448190acc1457a63d27a4a |
completed | March 4, 2026, 12:34 p.m. |
Created at: March 1, 2026, 7:40 p.m.