Triple
T3376681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Downey Sr. |
E71081
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Elsie Ann Ford |
E156799
|
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: Elsie Ann Ford | Statement: [Robert Downey Sr., spouse, Elsie Ann Ford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elsie Ann Ford Context triple: [Robert Downey Sr., spouse, Elsie Ann Ford]
-
A.
Elsie Ann Ford
chosen
Elsie Ann Ford was an American actress and the mother of actor Robert Downey Jr.
-
B.
Eleanor Clay Ford
Eleanor Clay Ford was an American heiress and prominent Detroit philanthropist, best known as the wife of Edsel Ford and a key figure in the Ford family legacy.
-
C.
Ethel Marion Foreman
Ethel Marion Foreman was the first wife of acclaimed British actor Basil Rathbone, known primarily through her marriage to him.
-
D.
Clara Jane Bryant Ford
Clara Jane Bryant Ford was an American philanthropist and social activist best known as the longtime wife and partner of industrialist Henry Ford.
-
E.
Ethel Fogg Anderson
Ethel Fogg Anderson was the mother of acclaimed American actor Montgomery Clift.
- 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2e776508190bc123fb17b36f062 |
completed | March 8, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfc9d292808190bb0213c52393b153 |
completed | March 22, 2026, 10:52 a.m. |
Created at: March 8, 2026, 3:13 p.m.