Triple
T9795457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bewitchin’ Pool |
E237705
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Mary Badham |
E739129
|
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: Mary Badham | Statement: [The Bewitchin’ Pool, stars, Mary Badham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Badham Context triple: [The Bewitchin’ Pool, stars, Mary Badham]
-
A.
Mary Badham
chosen
Mary Badham is an American actress best known for her Oscar-nominated portrayal of Scout Finch in the classic film adaptation of "To Kill a Mockingbird."
-
B.
Florence Henderson
Florence Henderson was an American actress and singer best known for her iconic role as Carol Brady on the television sitcom "The Brady Bunch."
-
C.
JoBeth Williams
JoBeth Williams is an American actress known for her roles in films such as "Poltergeist," "The Big Chill," and numerous television movies and series.
-
D.
Jenny Agutter
Jenny Agutter is a British actress known for her roles in films such as "The Railway Children," "Walkabout," and "An American Werewolf in London," as well as in the TV series "Call the Midwife."
-
E.
June Lockhart
June Lockhart is an American actress best known for her roles in classic television series such as "Lassie" and the original "Lost in Space."
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda34916dc8190acef2ba003e56a33 |
completed | April 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c43bccfc81909b940b180fe26626 |
completed | April 5, 2026, 2:09 a.m. |
Created at: March 30, 2026, 8:28 p.m.