Triple
T20570183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billy Getty |
E505073
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object |
Ann Getty
Ann Getty was an American philanthropist, interior designer, and publisher who married into the Getty oil family and became known for her cultural patronage and refined artistic taste.
|
E1456990
|
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: Ann Getty | Statement: [Billy Getty, hasRelative, Ann Getty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ann Getty Context triple: [Billy Getty, hasRelative, Ann Getty]
-
A.
Ann Butterfield
Ann Butterfield is a fictional character from the romantic drama film "Endless Love."
-
B.
Elizabeth Dailey
Elizabeth Dailey is known primarily as the spouse of American actor and dancer Dan Dailey.
-
C.
Diana Gettas
Diana Gettas is known as the former wife of Canadian screenwriter and director Paul Haggis.
-
D.
Laura Garrety
Laura Garrety is a central character in the dark comedy film "Very Bad Things," around whom much of the movie’s escalating chaos and moral collapse revolves.
-
E.
Rachel Greer
Rachel Greer is a professional known for her expertise in Amazon marketplace compliance, product safety, and e-commerce consulting.
- 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: Ann Getty Triple: [Billy Getty, hasRelative, Ann Getty]
Generated description
Ann Getty was an American philanthropist, interior designer, and publisher who married into the Getty oil family and became known for her cultural patronage and refined artistic taste.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ann Getty Target entity description: Ann Getty was an American philanthropist, interior designer, and publisher who married into the Getty oil family and became known for her cultural patronage and refined artistic taste.
-
A.
Ann Butterfield
Ann Butterfield is a fictional character from the romantic drama film "Endless Love."
-
B.
Elizabeth Dailey
Elizabeth Dailey is known primarily as the spouse of American actor and dancer Dan Dailey.
-
C.
Diana Gettas
Diana Gettas is known as the former wife of Canadian screenwriter and director Paul Haggis.
-
D.
Laura Garrety
Laura Garrety is a central character in the dark comedy film "Very Bad Things," around whom much of the movie’s escalating chaos and moral collapse revolves.
-
E.
Rachel Greer
Rachel Greer is a professional known for her expertise in Amazon marketplace compliance, product safety, and e-commerce consulting.
- 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a5b0688190b45d0fa993c4765c |
completed | April 20, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0918b4a2d88190b91660be464301fa |
completed | May 17, 2026, 1:24 a.m. |
| NEDg | Description generation | batch_6a091b61597481909edb4da03f712eaa |
completed | May 17, 2026, 1:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a091b99c9c48190a19c44b3773d5fdd |
completed | May 17, 2026, 1:36 a.m. |
Created at: April 16, 2026, 11:39 a.m.