Triple
T15032394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Peoples |
E378384
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Janet Peoples |
—
|
NE NERFINISHED |
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: Janet Peoples | Statement: [David Peoples, spouse, Janet Peoples]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janet Peoples Context triple: [David Peoples, spouse, Janet Peoples]
-
A.
Janet Peoples
chosen
Janet Peoples is an American screenwriter best known for co-writing the acclaimed science fiction film "12 Monkeys."
-
B.
Janet Patterson
Janet Patterson was an acclaimed Australian costume and production designer known for her richly detailed period work on films such as "The Piano" and "Oscar and Lucinda."
-
C.
Janet Simpson
Janet Simpson is a musician and composer known for creating the score for the documentary "Client 9: The Rise and Fall of Eliot Spitzer."
-
D.
Janet Ellis
Janet Ellis is a British television presenter and actress best known for her work on children's programmes such as Blue Peter and The Really Wild Show.
-
E.
Janet Henry
Janet Henry is a central female character in the 1942 film noir "The Glass Key," entangled in a web of political corruption, romance, and murder.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e3a7c8819081f26c2435c1bcb2 |
completed | April 15, 2026, 12:12 a.m. |
Created at: April 10, 2026, 2:59 a.m.