Triple
T20124254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ergs! |
E490703
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Jeff Erg
Jeff Erg is a musician best known as a member of the New Jersey pop-punk band The Ergs!.
|
E1413224
|
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 Erg | Statement: [The Ergs!, hasMember, Jeff Erg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Erg Context triple: [The Ergs!, hasMember, Jeff Erg]
-
A.
Mike Sievert
Mike Sievert is an American business executive best known for leading T-Mobile US through its high-growth, "Un-carrier" strategy and major merger with Sprint.
-
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.
Greg Eklund
Greg Eklund is an American drummer best known for his work with the alternative rock band Everclear.
-
D.
Brian Swardstrom
Brian Swardstrom is a prominent American talent agent and partner at United Talent Agency, known for representing acclaimed actors and filmmakers.
-
E.
Eric Sigler
Eric Sigler is a researcher known for co-authoring influential work in artificial intelligence and machine learning alongside Tom B. Brown.
- 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 Erg Triple: [The Ergs!, hasMember, Jeff Erg]
Generated description
Jeff Erg is a musician best known as a member of the New Jersey pop-punk band The Ergs!.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeff Erg Target entity description: Jeff Erg is a musician best known as a member of the New Jersey pop-punk band The Ergs!.
-
A.
Mike Sievert
Mike Sievert is an American business executive best known for leading T-Mobile US through its high-growth, "Un-carrier" strategy and major merger with Sprint.
-
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.
Greg Eklund
Greg Eklund is an American drummer best known for his work with the alternative rock band Everclear.
-
D.
Brian Swardstrom
Brian Swardstrom is a prominent American talent agent and partner at United Talent Agency, known for representing acclaimed actors and filmmakers.
-
E.
Eric Sigler
Eric Sigler is a researcher known for co-authoring influential work in artificial intelligence and machine learning alongside Tom B. Brown.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667412b888190b43f7dd1ccdbad01 |
completed | April 20, 2026, 5:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a082dd7d19481908fed99f3c37b91bf |
completed | May 16, 2026, 8:42 a.m. |
| NEDg | Description generation | batch_6a082f03be608190a68d27656d33fe5e |
completed | May 16, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a082faf0ca48190a498079bda6fb96f |
completed | May 16, 2026, 8:49 a.m. |
Created at: April 11, 2026, 11:30 p.m.