Triple
T11480933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mace Bauer Mystery series |
E272143
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Deborah Sharp |
E272143
|
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: Deborah Sharp | Statement: [Mace Bauer Mystery series, author, Deborah Sharp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deborah Sharp Context triple: [Mace Bauer Mystery series, author, Deborah Sharp]
-
A.
Deborah Sharp
chosen
Deborah Sharp is an American author best known for her humorous Mace Bauer Mystery series set in Florida.
-
B.
Alexandra Schepisi
Alexandra Schepisi is an Australian actress and occasional director known for her work in film, television, and theatre.
-
C.
Lynda Menzies
Lynda Menzies is a person notable enough to be recognized as a prominent bearer of the surname Menzies.
-
D.
Claire Jackman
Claire Jackman is a fictional character portrayed by actress Gina Bellman, known from her work in British television and film.
-
E.
Robyn Nevin
Robyn Nevin is a prominent Australian actress and theatre director known for her extensive work on stage, film, and television, as well as her leadership roles in major Australian theatre companies.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8294f0e948190b2e106beb86e4b2c |
completed | April 9, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e60434966c81909a277b6a0fd9f358 |
completed | April 20, 2026, 10:47 a.m. |
Created at: April 8, 2026, 9:36 p.m.