Triple
T1812122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucius |
E40353
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Peter Lalish
Peter Lalish is a musician best known as a guitarist and member of the indie rock band Lucius.
|
E247303
|
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: Peter Lalish | Statement: [Lucius, hasMember, Peter Lalish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Lalish Context triple: [Lucius, hasMember, Peter Lalish]
-
A.
Kevin Yagher
Kevin Yagher is an American special effects and makeup artist and director best known for his work on horror and fantasy films and for creating iconic genre characters.
-
B.
Paul Devorski
Paul Devorski is a retired Canadian National Hockey League referee known for officiating numerous high-profile games over his long career.
-
C.
Ted Szilva
Ted Szilva was a Canadian entrepreneur and community promoter best known for conceiving and helping create Sudbury’s iconic Big Nickel landmark.
-
D.
Brian VanDeMark
Brian VanDeMark is an American historian and author known for his work on U.S. foreign policy and the Vietnam War, including coauthoring influential studies of that conflict.
-
E.
Kevin Liles
Kevin Liles is an American music executive and entrepreneur best known for his leadership roles at Def Jam Recordings and later at Warner Music Group.
- 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: Peter Lalish Triple: [Lucius, hasMember, Peter Lalish]
Generated description
Peter Lalish is a musician best known as a guitarist and member of the indie rock band Lucius.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Lalish Target entity description: Peter Lalish is a musician best known as a guitarist and member of the indie rock band Lucius.
-
A.
Kevin Yagher
Kevin Yagher is an American special effects and makeup artist and director best known for his work on horror and fantasy films and for creating iconic genre characters.
-
B.
Paul Devorski
Paul Devorski is a retired Canadian National Hockey League referee known for officiating numerous high-profile games over his long career.
-
C.
Ted Szilva
Ted Szilva was a Canadian entrepreneur and community promoter best known for conceiving and helping create Sudbury’s iconic Big Nickel landmark.
-
D.
Brian VanDeMark
Brian VanDeMark is an American historian and author known for his work on U.S. foreign policy and the Vietnam War, including coauthoring influential studies of that conflict.
-
E.
Kevin Liles
Kevin Liles is an American music executive and entrepreneur best known for his leadership roles at Def Jam Recordings and later at Warner Music Group.
- 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa65c64bc08190b993216890752b46 |
completed | March 6, 2026, 5:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6ae17a808190b5574ca6baafdb71 |
completed | March 9, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_69ae6b73bb688190bcade17d991c4862 |
completed | March 9, 2026, 6:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6be4431c81909c9b4ad82226215d |
completed | March 9, 2026, 6:42 a.m. |
Created at: March 4, 2026, 7:32 p.m.