Triple
T560714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Downey Jr. |
E13443
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Elsie Ann Ford
Elsie Ann Ford was an American actress and the mother of actor Robert Downey Jr.
|
E156799
|
NE FINISHED |
How this triple was built (4 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 Jr., parent, Elsie Ann Ford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elsie Ann Ford Context triple: [Robert Downey Jr., parent, Elsie Ann Ford]
-
A.
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.
-
B.
Ann Fleming
Ann Fleming was a British socialite and literary hostess best known as the wife of James Bond creator Ian Fleming and for her influential role in mid-20th-century London cultural circles.
-
C.
Mary Elizabeth Ellis
Mary Elizabeth Ellis is an American actress and comedian best known for her recurring role as The Waitress on the TV series "It's Always Sunny in Philadelphia."
-
D.
Ethel Wayman
Ethel Wayman was the wife of British humorist and novelist P. G. Wodehouse.
-
E.
Ruth Snyder
Ruth Snyder was an American woman infamously executed in 1928 for the murder of her husband, a case that became notorious due to a secretly photographed image of her electrocution published in the press.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Elsie Ann Ford Triple: [Robert Downey Jr., parent, Elsie Ann Ford]
Generated description
Elsie Ann Ford was an American actress and the mother of actor Robert Downey Jr.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elsie Ann Ford Target entity description: Elsie Ann Ford was an American actress and the mother of actor Robert Downey Jr.
-
A.
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.
-
B.
Ann Fleming
Ann Fleming was a British socialite and literary hostess best known as the wife of James Bond creator Ian Fleming and for her influential role in mid-20th-century London cultural circles.
-
C.
Mary Elizabeth Ellis
Mary Elizabeth Ellis is an American actress and comedian best known for her recurring role as The Waitress on the TV series "It's Always Sunny in Philadelphia."
-
D.
Ethel Wayman
Ethel Wayman was the wife of British humorist and novelist P. G. Wodehouse.
-
E.
Ruth Snyder
Ruth Snyder was an American woman infamously executed in 1928 for the murder of her husband, a case that became notorious due to a secretly photographed image of her electrocution published in the press.
- F. None of above. chosen
Provenance (5 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a499e2795c8190903240e79964156d |
completed | March 1, 2026, 7:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce4b94d08190b7747b0b6d61e3e1 |
completed | March 8, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69accf3931bc81908e38755e2d024270 |
completed | March 8, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69accfb8acfc8190bba379d8bb114c29 |
completed | March 8, 2026, 1:24 a.m. |
Created at: March 1, 2026, 7:32 p.m.