Triple
T21449234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heather Miller |
E529163
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object |
Arlene Miller
Arlene Miller is an individual known primarily in relation to Heather Miller, though no widely recognized public information distinguishes her beyond this family connection.
|
E1492753
|
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: Arlene Miller | Statement: [Heather Miller, relative, Arlene Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arlene Miller Context triple: [Heather Miller, relative, Arlene Miller]
-
A.
Patricia Miller
Patricia Miller is known primarily as the wife of American attorney Herbert J. Miller Jr., who was involved in several high-profile political legal cases.
-
B.
Nancy Millis
Nancy Millis was an influential Australian microbiologist and educator renowned for her pioneering work in industrial microbiology and for promoting science and biotechnology in Australia.
-
C.
Amy Miller
Amy Miller is the obsessive and dangerously fixated teenage girl who serves as the central antagonist in the psychological thriller film "Swimfan."
-
D.
Anita Leonard
Anita Leonard is best known as the wife of American comedian and actor Louis Nye.
-
E.
Joyce Easton
Joyce Easton is an actress known for her role in the film "The Fury."
- 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: Arlene Miller Triple: [Heather Miller, relative, Arlene Miller]
Generated description
Arlene Miller is an individual known primarily in relation to Heather Miller, though no widely recognized public information distinguishes her beyond this family connection.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arlene Miller Target entity description: Arlene Miller is an individual known primarily in relation to Heather Miller, though no widely recognized public information distinguishes her beyond this family connection.
-
A.
Patricia Miller
Patricia Miller is known primarily as the wife of American attorney Herbert J. Miller Jr., who was involved in several high-profile political legal cases.
-
B.
Nancy Millis
Nancy Millis was an influential Australian microbiologist and educator renowned for her pioneering work in industrial microbiology and for promoting science and biotechnology in Australia.
-
C.
Amy Miller
Amy Miller is the obsessive and dangerously fixated teenage girl who serves as the central antagonist in the psychological thriller film "Swimfan."
-
D.
Anita Leonard
Anita Leonard is best known as the wife of American comedian and actor Louis Nye.
-
E.
Joyce Easton
Joyce Easton is an actress known for her role in the film "The Fury."
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d11ca48190aafe25c97dfa5578 |
completed | April 23, 2026, 9:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09fd207ae08190891f195c1b1f296f |
completed | May 17, 2026, 5:38 p.m. |
| NEDg | Description generation | batch_6a09feb782d08190aa39c731cac623c9 |
completed | May 17, 2026, 5:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09ff257c548190a7304bfee02dcbaf |
completed | May 17, 2026, 5:47 p.m. |
Created at: April 16, 2026, 6:06 p.m.