Triple
T5530210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lynyrd Skynyrd |
E145028
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Mark Matejka
Mark Matejka is an American guitarist best known as a member of the Southern rock band Lynyrd Skynyrd.
|
E528920
|
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: Mark Matejka | Statement: [Lynyrd Skynyrd, hasPart, Mark Matejka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Matejka Context triple: [Lynyrd Skynyrd, hasPart, Mark Matejka]
-
A.
David Slivka
David Slivka was an American sculptor and painter known for his abstract, expressionist works and contributions to mid-20th-century modern art.
-
B.
Jonathan Pytko
Jonathan Pytko is a cinematographer best known for his work on the Pixar animated film "Turning Red."
-
C.
Dave Novotny
Dave Novotny is a musician best known as a member of the American rock band Saliva.
-
D.
Tomáš Nosek
Tomáš Nosek is a Czech professional ice hockey forward who has played in the National Hockey League for teams including the Detroit Red Wings, Vegas Golden Knights, Boston Bruins, and New Jersey Devils.
-
E.
Alec Miloslavsky
Alec Miloslavsky is a technology entrepreneur best known as a co-founder of the customer experience and contact center software company Genesys.
- 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: Mark Matejka Triple: [Lynyrd Skynyrd, hasPart, Mark Matejka]
Generated description
Mark Matejka is an American guitarist best known as a member of the Southern rock band Lynyrd Skynyrd.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Matejka Target entity description: Mark Matejka is an American guitarist best known as a member of the Southern rock band Lynyrd Skynyrd.
-
A.
David Slivka
David Slivka was an American sculptor and painter known for his abstract, expressionist works and contributions to mid-20th-century modern art.
-
B.
Jonathan Pytko
Jonathan Pytko is a cinematographer best known for his work on the Pixar animated film "Turning Red."
-
C.
Dave Novotny
Dave Novotny is a musician best known as a member of the American rock band Saliva.
-
D.
Tomáš Nosek
Tomáš Nosek is a Czech professional ice hockey forward who has played in the National Hockey League for teams including the Detroit Red Wings, Vegas Golden Knights, Boston Bruins, and New Jersey Devils.
-
E.
Alec Miloslavsky
Alec Miloslavsky is a technology entrepreneur best known as a co-founder of the customer experience and contact center software company Genesys.
- 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f9b59bc8190a8758b3be54831e9 |
completed | March 22, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c02805a174819096cd16f2c1ef2eb1 |
completed | March 22, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69c033ddc7148190ba64ebfc2472c367 |
completed | March 22, 2026, 6:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c036725fc481908ab0e260892d8243 |
completed | March 22, 2026, 6:35 p.m. |
Created at: March 22, 2026, 3:34 p.m.