Triple
T14176520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T. J. Miller |
E351345
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object |
Erlich Bachman
Erlich Bachman is a bombastic, self-important tech entrepreneur and incubator owner from the comedy series "Silicon Valley."
|
E1084517
|
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: Erlich Bachman | Statement: [T. J. Miller, playedCharacter, Erlich Bachman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erlich Bachman Context triple: [T. J. Miller, playedCharacter, Erlich Bachman]
-
A.
Michael Berman
Michael Berman is a writer and contributor known for his work published in George magazine.
-
B.
Benny Horowitz
Benny Horowitz is an American drummer best known for his work with the New Jersey rock band The Gaslight Anthem.
-
C.
Jay Sugarman
Jay Sugarman is an American businessman and real estate investor best known as the owner and chairman of Major League Soccer’s Philadelphia Union.
-
D.
Tosh Berman
Tosh Berman is an American writer, poet, and publisher known for his memoirs and works on art, music, and culture, as well as his involvement in the Los Angeles avant-garde scene.
-
E.
Greg Grunberg
Greg Grunberg is an American actor best known for his roles in television series such as "Heroes," "Alias," and "Felicity," as well as appearances in major film franchises.
- 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: Erlich Bachman Triple: [T. J. Miller, playedCharacter, Erlich Bachman]
Generated description
Erlich Bachman is a bombastic, self-important tech entrepreneur and incubator owner from the comedy series "Silicon Valley."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Erlich Bachman Target entity description: Erlich Bachman is a bombastic, self-important tech entrepreneur and incubator owner from the comedy series "Silicon Valley."
-
A.
Michael Berman
Michael Berman is a writer and contributor known for his work published in George magazine.
-
B.
Benny Horowitz
Benny Horowitz is an American drummer best known for his work with the New Jersey rock band The Gaslight Anthem.
-
C.
Jay Sugarman
Jay Sugarman is an American businessman and real estate investor best known as the owner and chairman of Major League Soccer’s Philadelphia Union.
-
D.
Tosh Berman
Tosh Berman is an American writer, poet, and publisher known for his memoirs and works on art, music, and culture, as well as his involvement in the Los Angeles avant-garde scene.
-
E.
Greg Grunberg
Greg Grunberg is an American actor best known for his roles in television series such as "Heroes," "Alias," and "Felicity," as well as appearances in major film franchises.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61c76e8081909994b95b631100e9 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf80cdae88190ae987b49218c281d |
completed | May 7, 2026, 8:37 p.m. |
| NEDg | Description generation | batch_69fd067e73708190adcb4e1c2fbf210d |
completed | May 7, 2026, 9:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd0c5161dc8190a923c5b00dc5b53a |
completed | May 7, 2026, 10:04 p.m. |
Created at: April 10, 2026, 1:02 a.m.