Triple
T9518904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Hayes |
E229596
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Mary MacArthur |
E683421
|
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 MacArthur | Statement: [Helen Hayes, child, Mary MacArthur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary MacArthur Context triple: [Helen Hayes, child, Mary MacArthur]
-
A.
Mary MacArthur
chosen
Mary MacArthur was the daughter of American playwright and screenwriter Charles MacArthur and actress Helen Hayes, whose early death from polio deeply affected her famous parents' lives and work.
-
B.
Sarah McArthur
Sarah McArthur is a film producer best known for serving as an executive producer on Pixar’s animated feature "Toy Story 2."
-
C.
Sarah McArthur
Sarah McArthur is a film producer best known for her executive production work on Disney’s animated feature "The Lion King 1½."
-
D.
Jean MacArthur
Jean MacArthur was the American wife of General Douglas MacArthur, known for her public poise, support of her husband's military career, and long life as a prominent military spouse and widow.
-
E.
Mary MacLaren
Mary MacLaren was an American silent film actress known for her expressive performances in early 20th-century cinema.
- 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_69ca847870a881909d8d751a7d29da39 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9881e0f081909a0177cedc2e8b95 |
completed | April 1, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a51292c8190b871509a32897251 |
completed | April 4, 2026, 4:20 p.m. |
Created at: March 30, 2026, 7:59 p.m.