Triple
T12953208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | June Howell |
E309943
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Howell |
E207275
|
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: Howell | Statement: [June Howell, familyName, Howell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howell Context triple: [June Howell, familyName, Howell]
-
A.
Howell
chosen
Howell is a surname and given name of Welsh origin that has been borne by numerous notable individuals across politics, sports, arts, and other fields.
-
B.
Fairhill
Fairhill is a neighborhood in North Philadelphia known for its large Latino community and commercial corridor along North 5th Street.
-
C.
Ewingsdale
Ewingsdale is a rural locality in New South Wales, Australia, situated near Byron Bay and known for its scenic countryside and historic charm.
-
D.
Clementon
Clementon is a small borough located in Camden County in southern New Jersey, known historically as a resort and amusement destination.
-
E.
Marford
Marford is a village in Wrexham County Borough, Wales, known for its distinctive Gothic-style architecture and historic character.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e1edcdc8190a702c2a5ea58cc67 |
completed | April 10, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af7a10f48190b7e0d32725f83fb6 |
completed | May 3, 2026, 2:14 a.m. |
Created at: April 9, 2026, 5:44 p.m.