Triple
T10521384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katherine B. Long |
E248179
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Katherine B. Long |
E248179
|
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: Katherine B. Long | Statement: [Katherine B. Long, name, Katherine B. Long]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katherine B. Long Context triple: [Katherine B. Long, name, Katherine B. Long]
-
A.
Katherine B. Long
chosen
Katherine B. Long was the wife of longtime U.S. Senator Russell B. Long of Louisiana and a member of the prominent Long political family.
-
B.
Kathy Long
Kathy Long is an American former world champion kickboxer and mixed martial arts pioneer who also gained recognition as a combat sports commentator and stunt performer.
-
C.
Martha Longenecker
Martha Longenecker was an American artist, educator, and museum founder best known for establishing San Diego’s Mingei International Museum dedicated to folk art, craft, and design from around the world.
-
D.
Jane T. Kendall
Jane T. Kendall was the wife of Amos Kendall, a prominent 19th-century American journalist, politician, and U.S. Postmaster General.
-
E.
Dona N. Sewell
Dona N. Sewell is a film editor best known for her work on the comedy movie "Austin Powers: International Man of Mystery."
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509dec25881909bc748640f26a416 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb055648c819085d36458847926b4 |
completed | April 14, 2026, 9:23 p.m. |
Created at: April 6, 2026, 12:29 p.m.