Triple
T15097418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cady Groves |
E360573
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object |
Kody Groves
Kody Groves is known as the brother of the late American singer-songwriter Cady Groves.
|
E1136784
|
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: Kody Groves | Statement: [Cady Groves, hasSibling, Kody Groves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kody Groves Context triple: [Cady Groves, hasSibling, Kody Groves]
-
A.
Michael Grunst
Michael Grunst is a German local politician who serves as the borough mayor of Berlin’s Lichtenberg district.
-
B.
Ron Bevirt
Ron Bevirt is an American countercultural figure best known for his involvement with Ken Kesey’s Merry Pranksters during the 1960s psychedelic movement.
-
C.
Steven Bethard
Steven Bethard is a computer scientist and natural language processing researcher known for his work on temporal information extraction, semantic role labeling, and clinical NLP.
-
D.
Andy Ernst
Andy Ernst is a music producer best known for his work on early punk rock and alternative albums, including Green Day’s breakthrough record "Kerplunk."
-
E.
Eric Jumper
Eric Jumper is an American engineer and researcher best known for his pioneering scientific investigations into the Shroud of Turin as part of the Shroud of Turin Research Project.
- 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: Kody Groves Triple: [Cady Groves, hasSibling, Kody Groves]
Generated description
Kody Groves is known as the brother of the late American singer-songwriter Cady Groves.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kody Groves Target entity description: Kody Groves is known as the brother of the late American singer-songwriter Cady Groves.
-
A.
Michael Grunst
Michael Grunst is a German local politician who serves as the borough mayor of Berlin’s Lichtenberg district.
-
B.
Ron Bevirt
Ron Bevirt is an American countercultural figure best known for his involvement with Ken Kesey’s Merry Pranksters during the 1960s psychedelic movement.
-
C.
Steven Bethard
Steven Bethard is a computer scientist and natural language processing researcher known for his work on temporal information extraction, semantic role labeling, and clinical NLP.
-
D.
Andy Ernst
Andy Ernst is a music producer best known for his work on early punk rock and alternative albums, including Green Day’s breakthrough record "Kerplunk."
-
E.
Eric Jumper
Eric Jumper is an American engineer and researcher best known for his pioneering scientific investigations into the Shroud of Turin as part of the Shroud of Turin Research Project.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005466e9c8190a68e1fbeb8922b1a |
completed | April 15, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae230d148190a343ac92fb089902 |
completed | May 9, 2026, 3:46 a.m. |
| NEDg | Description generation | batch_69feb0551a508190802f4073fa5ae4b4 |
completed | May 9, 2026, 3:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb11fa1b081909243679603194b0b |
completed | May 9, 2026, 3:59 a.m. |
Created at: April 10, 2026, 3:04 a.m.