Triple
T15165746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheer-Accident |
E362336
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Jeff Libersher
Jeff Libersher is a musician best known as a member of the experimental rock band Cheer-Accident.
|
E1373738
|
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 Libersher | Statement: [Cheer-Accident, hasMember, Jeff Libersher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Libersher Context triple: [Cheer-Accident, hasMember, Jeff Libersher]
-
A.
Larry A. Lebofsky
Larry A. Lebofsky is an American astronomer known for his work in planetary science and the study of ring systems around planets.
-
B.
Donald Meltzer
Donald Meltzer was a British psychoanalyst known for his influential work in child analysis, aesthetic experience, and the development of Kleinian psychoanalytic theory.
-
C.
Joseph E. Levine
Joseph E. Levine was an influential American film producer and distributor known for aggressively marketing and popularizing both foreign and domestic films in the mid-20th century.
-
D.
Bob Tzudiker
Bob Tzudiker is an American screenwriter best known for co-writing Disney animated films such as "Tarzan" and "The Lion King."
-
E.
William Sheinberg
William Sheinberg is known primarily as the son of influential Hollywood executive Sidney Sheinberg.
- 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 Libersher Triple: [Cheer-Accident, hasMember, Jeff Libersher]
Generated description
Jeff Libersher is a musician best known as a member of the experimental rock band Cheer-Accident.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeff Libersher Target entity description: Jeff Libersher is a musician best known as a member of the experimental rock band Cheer-Accident.
-
A.
Larry A. Lebofsky
Larry A. Lebofsky is an American astronomer known for his work in planetary science and the study of ring systems around planets.
-
B.
Donald Meltzer
Donald Meltzer was a British psychoanalyst known for his influential work in child analysis, aesthetic experience, and the development of Kleinian psychoanalytic theory.
-
C.
Joseph E. Levine
Joseph E. Levine was an influential American film producer and distributor known for aggressively marketing and popularizing both foreign and domestic films in the mid-20th century.
-
D.
Bob Tzudiker
Bob Tzudiker is an American screenwriter best known for co-writing Disney animated films such as "Tarzan" and "The Lion King."
-
E.
William Sheinberg
William Sheinberg is known primarily as the son of influential Hollywood executive Sidney Sheinberg.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064c6244819085daf8e1eafdf3f2 |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a072b64b16c8190ab23bfc8a2ec7b66 |
completed | May 15, 2026, 2:19 p.m. |
| NEDg | Description generation | batch_6a072d79ae348190a078fb5441c6466b |
completed | May 15, 2026, 2:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a072e930e948190ac19fa2b81639922 |
completed | May 15, 2026, 2:32 p.m. |
Created at: April 10, 2026, 3:08 a.m.