Triple
T11049924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patty Duke |
E261218
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Michael Pearce
Michael Pearce is an American drill sergeant and former U.S. Army officer best known as the fourth husband of actress Patty Duke.
|
E901315
|
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: Michael Pearce | Statement: [Patty Duke, spouse, Michael Pearce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Pearce Context triple: [Patty Duke, spouse, Michael Pearce]
-
A.
Martin Black
Martin Black is a member of the Black family, a fictional pure-blood wizarding family in the Harry Potter universe.
-
B.
Owen Davian
Owen Davian is the ruthless and highly intelligent arms dealer who serves as the primary antagonist in the film "Mission: Impossible III."
-
C.
Nick Boraine
Nick Boraine is a South African actor known for his work in film, television, and theatre, often appearing in politically themed and socially conscious productions.
-
D.
Paul Blackthorne
Paul Blackthorne is a British actor best known for his role as Detective Quentin Lance on the television series "Arrow."
-
E.
Michael Archer
Michael Archer is an Australian paleontologist and evolutionary biologist known for his research on marsupials and other Australasian mammals.
- 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: Michael Pearce Triple: [Patty Duke, spouse, Michael Pearce]
Generated description
Michael Pearce is an American drill sergeant and former U.S. Army officer best known as the fourth husband of actress Patty Duke.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Pearce Target entity description: Michael Pearce is an American drill sergeant and former U.S. Army officer best known as the fourth husband of actress Patty Duke.
-
A.
Martin Black
Martin Black is a member of the Black family, a fictional pure-blood wizarding family in the Harry Potter universe.
-
B.
Owen Davian
Owen Davian is the ruthless and highly intelligent arms dealer who serves as the primary antagonist in the film "Mission: Impossible III."
-
C.
Nick Boraine
Nick Boraine is a South African actor known for his work in film, television, and theatre, often appearing in politically themed and socially conscious productions.
-
D.
Paul Blackthorne
Paul Blackthorne is a British actor best known for his role as Detective Quentin Lance on the television series "Arrow."
-
E.
Michael Archer
Michael Archer is an Australian paleontologist and evolutionary biologist known for his research on marsupials and other Australasian mammals.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79868c78881908c8e3672c05ae7ec |
completed | April 9, 2026, 12:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3aa146b148190a87205e542cc718f |
completed | April 18, 2026, 3:58 p.m. |
| NEDg | Description generation | batch_69e3ad0379888190b2f56d36d79bf97d |
completed | April 18, 2026, 4:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3b206c7a4819087eb06faa6e1af21 |
completed | April 18, 2026, 4:32 p.m. |
Created at: April 8, 2026, 9:26 p.m.