Triple
T12653020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walton family |
E302211
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Helen Walton |
E882665
|
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: Helen Walton | Statement: [Walton family, hasMember, Helen Walton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen Walton Context triple: [Walton family, hasMember, Helen Walton]
-
A.
Helen Walton
chosen
Helen Walton was an American philanthropist and art patron best known as the wife of Walmart founder Sam Walton and a key figure in the Walton family's charitable activities.
-
B.
Helen Morris
Helen Morris is an American book editor and the longtime wife of acclaimed film director Martin Scorsese.
-
C.
Helen Wright
Helen Wright is a wealthy, emotionally volatile socialite who becomes romantically entangled with a young violin prodigy in the film "Humoresque."
-
D.
Helen Willis
Helen Willis is a central character on the sitcom "The Jeffersons," known as Louise Jefferson’s close friend and one half of the show’s groundbreaking interracial couple.
-
E.
Helen Dawson
Helen Dawson was the wife of British playwright John Osborne, associated with his personal life during his early career.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96160730c81909e1aa3efb51bf159 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a82c2b9c819084ffd933e5b295b9 |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 5:18 p.m.