Triple
T681198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Gambon |
E13183
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Anne Miller
Anne Miller is best known as the wife of acclaimed Irish-English actor Michael Gambon.
|
E208657
|
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: Anne Miller | Statement: [Michael Gambon, spouse, Anne Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Miller Context triple: [Michael Gambon, spouse, Anne Miller]
-
A.
Freda Miller
Freda Miller is known primarily as the former spouse of American television and radio host Larry King.
-
B.
Diana Dill
Diana Dill was a Bermudian-born actress known for her film and television work and as the mother of actor Michael Douglas.
-
C.
Frances Bavier
Frances Bavier was an American actress best known for her portrayal of the warm but no-nonsense Aunt Bee on the classic television sitcom "The Andy Griffith Show."
-
D.
Jane Miller
Jane Miller is known as the daughter of renowned American playwright Arthur Miller.
-
E.
Rachel Marron
Rachel Marron is a famous pop singer and actress who becomes the client and love interest of a former Secret Service agent in the romantic thriller film "The Bodyguard."
- 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: Anne Miller Triple: [Michael Gambon, spouse, Anne Miller]
Generated description
Anne Miller is best known as the wife of acclaimed Irish-English actor Michael Gambon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anne Miller Target entity description: Anne Miller is best known as the wife of acclaimed Irish-English actor Michael Gambon.
-
A.
Freda Miller
Freda Miller is known primarily as the former spouse of American television and radio host Larry King.
-
B.
Diana Dill
Diana Dill was a Bermudian-born actress known for her film and television work and as the mother of actor Michael Douglas.
-
C.
Frances Bavier
Frances Bavier was an American actress best known for her portrayal of the warm but no-nonsense Aunt Bee on the classic television sitcom "The Andy Griffith Show."
-
D.
Jane Miller
Jane Miller is known as the daughter of renowned American playwright Arthur Miller.
-
E.
Rachel Marron
Rachel Marron is a famous pop singer and actress who becomes the client and love interest of a former Secret Service agent in the romantic thriller film "The Bodyguard."
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a06e294c8190873116a3253e04f9 |
completed | March 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add197c5248190ae37a11693975f97 |
completed | March 8, 2026, 7:44 p.m. |
| NEDg | Description generation | batch_69add28a8f848190bf6ea0924e7dd9fc |
completed | March 8, 2026, 7:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69add37ad9a481908b2a1476a8d33091 |
completed | March 8, 2026, 7:52 p.m. |
Created at: March 1, 2026, 7:36 p.m.