Triple
T7977907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Millar |
E185491
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Kenneth Millar
Kenneth Millar, better known by his pen name Ross Macdonald, was a Canadian-American crime writer renowned for his influential Lew Archer detective novels.
|
E712170
|
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: Kenneth Millar | Statement: [Margaret Millar, spouse, Kenneth Millar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenneth Millar Context triple: [Margaret Millar, spouse, Kenneth Millar]
-
A.
Ray McKinnon
Ray McKinnon is an American actor, writer, producer, and director known for his character roles in film and television and for creating the acclaimed series "Rectify."
-
B.
David McMillan
David McMillan is the son of Nobel Prize–winning American physicist Edwin McMillan.
-
C.
Kenny Hyslop
Kenny Hyslop is a Scottish drummer best known for his work with the rock band Simple Minds and his contributions to the UK new wave scene in the late 1970s and early 1980s.
-
D.
Ken Ralston
Ken Ralston is an acclaimed visual effects supervisor known for his groundbreaking work on major films such as the Star Wars and Back to the Future series.
-
E.
Kenneth McMillan
Kenneth McMillan is a computer scientist known for his influential work in model checking and formal verification.
- 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: Kenneth Millar Triple: [Margaret Millar, spouse, Kenneth Millar]
Generated description
Kenneth Millar, better known by his pen name Ross Macdonald, was a Canadian-American crime writer renowned for his influential Lew Archer detective novels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kenneth Millar Target entity description: Kenneth Millar, better known by his pen name Ross Macdonald, was a Canadian-American crime writer renowned for his influential Lew Archer detective novels.
-
A.
Ray McKinnon
Ray McKinnon is an American actor, writer, producer, and director known for his character roles in film and television and for creating the acclaimed series "Rectify."
-
B.
David McMillan
David McMillan is the son of Nobel Prize–winning American physicist Edwin McMillan.
-
C.
Kenny Hyslop
Kenny Hyslop is a Scottish drummer best known for his work with the rock band Simple Minds and his contributions to the UK new wave scene in the late 1970s and early 1980s.
-
D.
Ken Ralston
Ken Ralston is an acclaimed visual effects supervisor known for his groundbreaking work on major films such as the Star Wars and Back to the Future series.
-
E.
Kenneth McMillan
Kenneth McMillan is a computer scientist known for his influential work in model checking and formal verification.
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf84b1081908e60a556d984aad6 |
completed | March 31, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc938ffbb481908c4540e560469777 |
completed | April 1, 2026, 3:40 a.m. |
| NEDg | Description generation | batch_69cc955542fc8190a84be60f4efea915 |
completed | April 1, 2026, 3:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc964c6b308190ae121072b1180268 |
completed | April 1, 2026, 3:51 a.m. |
Created at: March 30, 2026, 5:14 p.m.