Triple
T15625071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calendar Girls |
E375657
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Michael Parker |
E535835
|
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: Michael Parker | Statement: [Calendar Girls, editedBy, Michael Parker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Parker Context triple: [Calendar Girls, editedBy, Michael Parker]
-
A.
Michael Parker
Michael Parker is a literary scholar and editor known for his work on classic novels such as Edith Wharton's "The House of Mirth."
-
B.
Michael Parker
chosen
Michael Parker is a film editor best known for his work on the British comedy-drama "Made in Dagenham."
-
C.
Ian Parker
Ian Parker is a British keyboardist best known for his work with the rock band The Hollies and various other prominent artists.
-
D.
James Parker
James Parker was a British Labour politician and trade unionist active in the early 20th century.
-
E.
Michael Parkhurst
Michael Parkhurst is an American former professional soccer defender best known for his standout MLS career and leadership roles with clubs like New England Revolution, Columbus Crew SC, and Atlanta United FC, as well as appearances for the U.S. national team.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9e5e248190ae54cda1fde51efb |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbba9fb08190b800af317f0c9abf |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:14 a.m.