Triple
T10920363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Bishop |
E257930
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Katherine Bishop |
E893891
|
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 Bishop | Statement: [Kate Bishop, fullName, Katherine Bishop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katherine Bishop Context triple: [Kate Bishop, fullName, Katherine Bishop]
-
A.
Katherine Bishop
chosen
Katherine Bishop is a fictional Marvel Comics character best known as the young archer hero Kate Bishop, who takes up the Hawkeye mantle.
-
B.
Sally Blane
Sally Blane was an American film actress of the early 20th century who appeared in numerous silent and sound films, often in supporting roles.
-
C.
Martha Coleman
Martha Coleman is a film producer known for her work on the British comedy-drama "Praise."
-
D.
Moira MacTaggert
Moira MacTaggert is a human ally of the X-Men, often portrayed as a brilliant geneticist and expert on mutantkind in Marvel’s X-Men universe.
-
E.
Vivian Carter
Vivian Carter was an American music entrepreneur and radio DJ best known as the co-founder of the influential independent label Vee-Jay Records, which helped popularize R&B and early rock and roll.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77081a0c48190b7aa4a482032d1ea |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23bcee80481909a9ec8a03bc5266d |
completed | April 17, 2026, 1:55 p.m. |
Created at: April 8, 2026, 9:22 p.m.