Triple
T4748165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soul Men |
E105411
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Adam Herschman
Adam Herschman is an American actor best known for his comedic roles in films such as "Accepted" and "Soul Men."
|
E466641
|
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: Adam Herschman | Statement: [Soul Men, starring, Adam Herschman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adam Herschman Context triple: [Soul Men, starring, Adam Herschman]
-
A.
Jeremy Furstenfeld
Jeremy Furstenfeld is the drummer of the American alternative rock band Blue October.
-
B.
Anthony Meyer
Anthony Meyer is a British politician and former Conservative Member of Parliament best known for mounting a symbolic leadership challenge against Prime Minister Margaret Thatcher in 1989.
-
C.
Joseph Weishaar
Joseph Weishaar is an American architect and designer best known for winning the competition to create the National World War I Memorial in Washington, D.C.
-
D.
Michael Haussman
Michael Haussman is an American director and filmmaker best known for his work on high-profile music videos and commercials.
-
E.
Matt Hauser
Matt Hauser is a composer and musician known for creating the score for the documentary film "Enron: The Smartest Guys in the Room."
- 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: Adam Herschman Triple: [Soul Men, starring, Adam Herschman]
Generated description
Adam Herschman is an American actor best known for his comedic roles in films such as "Accepted" and "Soul Men."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adam Herschman Target entity description: Adam Herschman is an American actor best known for his comedic roles in films such as "Accepted" and "Soul Men."
-
A.
Jeremy Furstenfeld
Jeremy Furstenfeld is the drummer of the American alternative rock band Blue October.
-
B.
Anthony Meyer
Anthony Meyer is a British politician and former Conservative Member of Parliament best known for mounting a symbolic leadership challenge against Prime Minister Margaret Thatcher in 1989.
-
C.
Joseph Weishaar
Joseph Weishaar is an American architect and designer best known for winning the competition to create the National World War I Memorial in Washington, D.C.
-
D.
Michael Haussman
Michael Haussman is an American director and filmmaker best known for his work on high-profile music videos and commercials.
-
E.
Matt Hauser
Matt Hauser is a composer and musician known for creating the score for the documentary film "Enron: The Smartest Guys in the Room."
- 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_69bd43f07fa48190954317d01600994a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64c567288190a420e6825ee72822 |
completed | March 20, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a46fd608190a81b13d0f687d4ed |
completed | March 21, 2026, 6:27 a.m. |
| NEDg | Description generation | batch_69be3bae1f488190a3ed533ae2b50ce0 |
completed | March 21, 2026, 6:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be3c35a3e0819083f062cb7b10cced |
completed | March 21, 2026, 6:35 a.m. |
Created at: March 20, 2026, 1:20 p.m.