Triple
T13733096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spymob |
E329860
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Jeff Lorenson
Jeff Lorenson is a musician best known as a member of the American alternative rock band Spymob.
|
E1063072
|
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: Jeff Lorenson | Statement: [Spymob, hasMember, Jeff Lorenson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Lorenson Context triple: [Spymob, hasMember, Jeff Lorenson]
-
A.
Matt Larson
Matt Larson is an Internet engineer and author known for his work on DNS standards and contributions to key IETF documents.
-
B.
Jeff Pehrson
Jeff Pehrson is an American singer-songwriter and harmony vocalist best known for his work with post-Grateful Dead band Furthur and the folk-rock duo Box Set.
-
C.
Jeff Gourson
Jeff Gourson is a film editor known for his work on movies such as the comedy "White Chicks."
-
D.
Matt Lammers
Matt Lammers is an individual notable enough to be specifically referenced as a bearer of the surname Lammers, though detailed public information about him is limited.
-
E.
Glen Lantz
Glen Lantz is a teenage character in the horror film "A Nightmare on Elm Street," known for being one of Freddy Krueger’s early victims and the boyfriend of protagonist Nancy Thompson.
- 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: Jeff Lorenson Triple: [Spymob, hasMember, Jeff Lorenson]
Generated description
Jeff Lorenson is a musician best known as a member of the American alternative rock band Spymob.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeff Lorenson Target entity description: Jeff Lorenson is a musician best known as a member of the American alternative rock band Spymob.
-
A.
Matt Larson
Matt Larson is an Internet engineer and author known for his work on DNS standards and contributions to key IETF documents.
-
B.
Jeff Pehrson
Jeff Pehrson is an American singer-songwriter and harmony vocalist best known for his work with post-Grateful Dead band Furthur and the folk-rock duo Box Set.
-
C.
Jeff Gourson
Jeff Gourson is a film editor known for his work on movies such as the comedy "White Chicks."
-
D.
Matt Lammers
Matt Lammers is an individual notable enough to be specifically referenced as a bearer of the surname Lammers, though detailed public information about him is limited.
-
E.
Glen Lantz
Glen Lantz is a teenage character in the horror film "A Nightmare on Elm Street," known for being one of Freddy Krueger’s early victims and the boyfriend of protagonist Nancy Thompson.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0201d3c48190aa306be231a28bc1 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8cebcd481909ba75eef518b34c7 |
completed | May 3, 2026, 9:06 p.m. |
| NEDg | Description generation | batch_69f7b974fce88190ace5030555b7b5f1 |
completed | May 3, 2026, 9:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ba936c4481908757699ff22d3904 |
completed | May 3, 2026, 9:13 p.m. |
Created at: April 9, 2026, 9:55 p.m.