Triple
T17177805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Houseboat |
E416905
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Martha Hyer |
E241211
|
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: Martha Hyer | Statement: [Houseboat, starring, Martha Hyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martha Hyer Context triple: [Houseboat, starring, Martha Hyer]
-
A.
Martha Hyer
chosen
Martha Hyer was an American film actress best known for her roles in 1950s and 1960s Hollywood movies, including her Oscar-nominated performance in "Some Came Running."
-
B.
Caroline Oates
Caroline Oates is best known as the wife of American character actor Warren Oates, noted for his roles in numerous 1960s and 1970s films and television series.
-
C.
Gwen Taylor
Gwen Taylor is an English actress known for her extensive work in television, film, and theatre, including prominent roles in British sitcoms and dramas.
-
D.
Beth Heiden
Beth Heiden is an American former speed skater and cyclist who won multiple world titles and an Olympic bronze medal in speed skating before later excelling in competitive cycling.
-
E.
Molly Davidson
Molly Davidson is an overachieving, socially awkward high school senior who learns to balance academic ambition with personal growth and fun in the coming-of-age comedy film "Booksmart."
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0ee5008190a73875b39841fd9f |
completed | April 18, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0148455afc8190931ba1316705ae0c |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:37 a.m.