Triple
T3364253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ban Johnson |
E70796
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Bancroft |
E335354
|
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: Bancroft | Statement: [Ban Johnson, middleName, Bancroft]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bancroft Context triple: [Ban Johnson, middleName, Bancroft]
-
A.
Bancroft
chosen
Bancroft is an English-origin surname borne by various notable figures in politics, academia, and the arts.
-
B.
Fairbank
Fairbank is a residential neighbourhood in the city of Toronto, Ontario, known for its diverse community and urban character.
-
C.
Cabell
Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
-
D.
Carlyle
Carlyle is a Scottish surname most famously associated with the 19th-century essayist and historian Thomas Carlyle.
-
E.
McClintock
McClintock is a surname most notably associated with Barbara McClintock, the pioneering American cytogeneticist and Nobel Prize laureate recognized for her discovery of genetic transposition.
- 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_69ad85a729d48190afd789cd8417f289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb28467b88190bdf70b851bc8efa9 |
completed | March 8, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3254daf8c8190b2141682503c111e |
completed | March 12, 2026, 8:42 p.m. |
Created at: March 8, 2026, 3:13 p.m.