Triple
T18422245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Guess Who |
E442048
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Laurie MacKenzie
Laurie MacKenzie is a musician best known as a later-era guitarist for the Canadian rock band The Guess Who.
|
E1426944
|
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: Laurie MacKenzie | Statement: [The Guess Who, hasMember, Laurie MacKenzie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurie MacKenzie Context triple: [The Guess Who, hasMember, Laurie MacKenzie]
-
A.
Laurie McGregor
Laurie McGregor is the child of American actress and singer Mary Elizabeth Winstead.
-
B.
Laurie MacDonald
Laurie MacDonald is a prominent American film producer known for her work on major Hollywood features and impactful documentaries.
-
C.
Allison MacKenzie
Allison MacKenzie is a central fictional character in Grace Metalious's novel "Peyton Place," known for her coming-of-age journey amid the scandals and moral conflicts of a small New England town.
-
D.
Laurie Morton
Laurie Morton is known as the spouse of Australian actor and producer David Kelly.
-
E.
Sarah MacKenzie
Sarah MacKenzie is a tough, principled Marine Corps lawyer and one of the central protagonists in the military legal drama series JAG.
- 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: Laurie MacKenzie Triple: [The Guess Who, hasMember, Laurie MacKenzie]
Generated description
Laurie MacKenzie is a musician best known as a later-era guitarist for the Canadian rock band The Guess Who.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laurie MacKenzie Target entity description: Laurie MacKenzie is a musician best known as a later-era guitarist for the Canadian rock band The Guess Who.
-
A.
Laurie McGregor
Laurie McGregor is the child of American actress and singer Mary Elizabeth Winstead.
-
B.
Laurie MacDonald
Laurie MacDonald is a prominent American film producer known for her work on major Hollywood features and impactful documentaries.
-
C.
Allison MacKenzie
Allison MacKenzie is a central fictional character in Grace Metalious's novel "Peyton Place," known for her coming-of-age journey amid the scandals and moral conflicts of a small New England town.
-
D.
Laurie Morton
Laurie Morton is known as the spouse of Australian actor and producer David Kelly.
-
E.
Sarah MacKenzie
Sarah MacKenzie is a tough, principled Marine Corps lawyer and one of the central protagonists in the military legal drama series JAG.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a2c98b0819082672174bf69b88c |
completed | April 19, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087067f6988190bbda7f2a4b1bde28 |
completed | May 16, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_6a0871146b248190ac91cf010a984e1f |
completed | May 16, 2026, 1:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0871a818688190ad69bcf84e33d014 |
completed | May 16, 2026, 1:31 p.m. |
Created at: April 10, 2026, 10:47 a.m.