Triple
T3495517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magik Markers |
E73840
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Pete Nolan
Pete Nolan is an American musician and drummer best known for his work in the noise rock and experimental music scenes.
|
E362401
|
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: Pete Nolan | Statement: [Magik Markers, hasMember, Pete Nolan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pete Nolan Context triple: [Magik Markers, hasMember, Pete Nolan]
-
A.
Lloyd Nolan
Lloyd Nolan was an American film and television actor known for his versatile character roles in dramas, crime films, and later in popular TV series.
-
B.
Eddie Cahill
Eddie Cahill is an American actor best known for his role as Detective Don Flack on the television series CSI: NY.
-
C.
Paddy Driscoll
Paddy Driscoll was an early NFL star player and coach, best known as a Hall of Fame quarterback and halfback for the Chicago Cardinals and Chicago Bears.
-
D.
Paddy McHale
Paddy McHale is an individual notable enough to be recognized as a prominent bearer of the surname McHale.
-
E.
Frank McHugh
Frank McHugh was an American character actor best known for his prolific work in 1930s and 1940s Hollywood films, often playing comic sidekicks and supporting roles.
- 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: Pete Nolan Triple: [Magik Markers, hasMember, Pete Nolan]
Generated description
Pete Nolan is an American musician and drummer best known for his work in the noise rock and experimental music scenes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pete Nolan Target entity description: Pete Nolan is an American musician and drummer best known for his work in the noise rock and experimental music scenes.
-
A.
Lloyd Nolan
Lloyd Nolan was an American film and television actor known for his versatile character roles in dramas, crime films, and later in popular TV series.
-
B.
Eddie Cahill
Eddie Cahill is an American actor best known for his role as Detective Don Flack on the television series CSI: NY.
-
C.
Paddy Driscoll
Paddy Driscoll was an early NFL star player and coach, best known as a Hall of Fame quarterback and halfback for the Chicago Cardinals and Chicago Bears.
-
D.
Paddy McHale
Paddy McHale is an individual notable enough to be recognized as a prominent bearer of the surname McHale.
-
E.
Frank McHugh
Frank McHugh was an American character actor best known for his prolific work in 1930s and 1940s Hollywood films, often playing comic sidekicks and supporting roles.
- 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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbb06fd08190b6c1fadfce4148f0 |
completed | March 8, 2026, 6:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373c5e1248190a4c42805fb9363f0 |
completed | March 13, 2026, 2:17 a.m. |
| NEDg | Description generation | batch_69b37442228c8190bc45782becd0642c |
completed | March 13, 2026, 2:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b374bd5cdc81908a924a9f8b641a8d |
completed | March 13, 2026, 2:21 a.m. |
Created at: March 8, 2026, 3:18 p.m.