Triple
T12200671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Power Up Tour |
E290700
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object |
Matt Laug
Matt Laug is an American rock drummer best known for his session and touring work with artists like Alanis Morissette and Alice Cooper.
|
E971495
|
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: Matt Laug | Statement: [Power Up Tour, performer, Matt Laug]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Laug Context triple: [Power Up Tour, performer, Matt Laug]
-
A.
Matt Walst
Matt Walst is a Canadian rock singer best known as the lead vocalist of the band Three Days Grace.
-
B.
Matt Oberg
Matt Oberg is an American actor and comedian known for his work in television comedies and voice acting roles.
-
C.
Matt Luber
Matt Luber is a film producer best known for his work on the action-thriller movie "Into the Blue."
-
D.
Matt Harpring
Matt Harpring is a former American professional basketball player and standout small forward best known for his collegiate career at Georgia Tech and his NBA tenure with teams including the Utah Jazz.
-
E.
Matt Graver
Matt Graver is a seasoned and morally ambiguous CIA operative who orchestrates covert operations against Mexican drug cartels in the film "Sicario."
- 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: Matt Laug Triple: [Power Up Tour, performer, Matt Laug]
Generated description
Matt Laug is an American rock drummer best known for his session and touring work with artists like Alanis Morissette and Alice Cooper.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matt Laug Target entity description: Matt Laug is an American rock drummer best known for his session and touring work with artists like Alanis Morissette and Alice Cooper.
-
A.
Matt Walst
Matt Walst is a Canadian rock singer best known as the lead vocalist of the band Three Days Grace.
-
B.
Matt Oberg
Matt Oberg is an American actor and comedian known for his work in television comedies and voice acting roles.
-
C.
Matt Luber
Matt Luber is a film producer best known for his work on the action-thriller movie "Into the Blue."
-
D.
Matt Harpring
Matt Harpring is a former American professional basketball player and standout small forward best known for his collegiate career at Georgia Tech and his NBA tenure with teams including the Utah Jazz.
-
E.
Matt Graver
Matt Graver is a seasoned and morally ambiguous CIA operative who orchestrates covert operations against Mexican drug cartels in the film "Sicario."
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c79f6cc8190ae8163d2016078c0 |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a933fc481909f9e062365bf05fc |
completed | May 2, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_69f60bdbee288190991b08ae685bb401 |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f610b8efe88190907e84247d9e8456 |
completed | May 2, 2026, 2:56 p.m. |
Created at: April 8, 2026, 9:50 p.m.