Triple
T14250394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Downey Sr. |
E353244
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Laura Ernst |
E443548
|
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: Laura Ernst | Statement: [Robert Downey Sr., spouse, Laura Ernst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Ernst Context triple: [Robert Downey Sr., spouse, Laura Ernst]
-
A.
Laura Ernst
chosen
Laura Ernst was the second wife of filmmaker Robert Downey Sr., known primarily for her connection to the Downey family.
-
B.
Laura Rister
Laura Rister is a film producer and executive known for her work on independent and prestige projects, including the financial thriller "Margin Call."
-
C.
Laura Geitz
Laura Geitz is a former Australian netballer renowned as one of the sport’s leading goal keepers and a World Cup– and Commonwealth Games–winning captain of the national team.
-
D.
June Ernst
June Ernst was the first wife of acclaimed American actor Burt Lancaster, to whom he was briefly married in the 1930s.
-
E.
Lisa Eilbacher
Lisa Eilbacher is an American actress best known for her roles in 1980s films and television series, including prominent appearances in action and drama movies.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6296f9d0819086f62f525d07eb12 |
completed | April 14, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01d196d88190a8fa54468b2de1bb |
completed | May 9, 2026, 9:43 a.m. |
Created at: April 10, 2026, 1:08 a.m.