Triple
T12234124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hardline |
E291548
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Todd Jensen
Todd Jensen is a musician best known as a member of the American hard rock band Hardline.
|
E998516
|
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: Todd Jensen | Statement: [Hardline, hasMember, Todd Jensen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Todd Jensen Context triple: [Hardline, hasMember, Todd Jensen]
-
A.
Matthew Jensen
Matthew Jensen is a cinematographer best known for his work on major films such as the 2017 superhero movie "Wonder Woman."
-
B.
Todd Alquist
Todd Alquist is a quietly sociopathic enforcer and meth cook associated with the white supremacist gang in the TV series "Breaking Bad" and its sequel film "El Camino."
-
C.
Todd Christensen
Todd Christensen was a former NFL tight end for the Oakland/Los Angeles Raiders who became a well-known football television analyst and commentator after his playing career.
-
D.
Max Jensen
Max Jensen was a young gas station attendant in Utah who became one of the two murder victims of convicted killer Gary Gilmore in 1976.
-
E.
Scott Clemmensen
Scott Clemmensen is an American former professional ice hockey goaltender best known for his NHL career, primarily with the New Jersey Devils, and his standout collegiate play at Boston College.
- 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: Todd Jensen Triple: [Hardline, hasMember, Todd Jensen]
Generated description
Todd Jensen is a musician best known as a member of the American hard rock band Hardline.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Todd Jensen Target entity description: Todd Jensen is a musician best known as a member of the American hard rock band Hardline.
-
A.
Matthew Jensen
Matthew Jensen is a cinematographer best known for his work on major films such as the 2017 superhero movie "Wonder Woman."
-
B.
Todd Alquist
Todd Alquist is a quietly sociopathic enforcer and meth cook associated with the white supremacist gang in the TV series "Breaking Bad" and its sequel film "El Camino."
-
C.
Todd Christensen
Todd Christensen was a former NFL tight end for the Oakland/Los Angeles Raiders who became a well-known football television analyst and commentator after his playing career.
-
D.
Max Jensen
Max Jensen was a young gas station attendant in Utah who became one of the two murder victims of convicted killer Gary Gilmore in 1976.
-
E.
Scott Clemmensen
Scott Clemmensen is an American former professional ice hockey goaltender best known for his NHL career, primarily with the New Jersey Devils, and his standout collegiate play at Boston College.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca5a06481908c7c6b715b9f6713 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6717f930c8190ad4713f1040d552a |
completed | May 2, 2026, 9:49 p.m. |
| NEDg | Description generation | batch_69f6738fb13881909be53b9bd9960944 |
completed | May 2, 2026, 9:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f677cabbb48190b5a097af0237595c |
completed | May 2, 2026, 10:16 p.m. |
Created at: April 8, 2026, 9:51 p.m.