Triple
T7206729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roseanne |
E148683
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Michael Fishman
Michael Fishman is an American actor best known for playing D.J. Conner on the long-running sitcom "Roseanne" and its revival.
|
E689225
|
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: Michael Fishman | Statement: [Roseanne, starring, Michael Fishman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Fishman Context triple: [Roseanne, starring, Michael Fishman]
-
A.
Eric Tannenbaum
Eric Tannenbaum is a television producer best known for his work on popular American sitcoms, including serving as an executive producer on "Two and a Half Men."
-
B.
Michael Berman
Michael Berman is a writer and contributor known for his work published in George magazine.
-
C.
Alan H. Fishman
Alan H. Fishman is an American banking executive best known for briefly serving as CEO of Washington Mutual during its 2008 financial collapse.
-
D.
Michael Bluestein
Michael Bluestein is an American keyboardist and songwriter best known as a longtime member of the rock band Foreigner.
-
E.
Michael Kagan
Michael Kagan is an Israeli technologist and entrepreneur best known as the co-founder and longtime chief technology officer of high-performance networking company Mellanox Technologies.
- 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: Michael Fishman Triple: [Roseanne, starring, Michael Fishman]
Generated description
Michael Fishman is an American actor best known for playing D.J. Conner on the long-running sitcom "Roseanne" and its revival.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Fishman Target entity description: Michael Fishman is an American actor best known for playing D.J. Conner on the long-running sitcom "Roseanne" and its revival.
-
A.
Eric Tannenbaum
Eric Tannenbaum is a television producer best known for his work on popular American sitcoms, including serving as an executive producer on "Two and a Half Men."
-
B.
Michael Berman
Michael Berman is a writer and contributor known for his work published in George magazine.
-
C.
Alan H. Fishman
Alan H. Fishman is an American banking executive best known for briefly serving as CEO of Washington Mutual during its 2008 financial collapse.
-
D.
Michael Bluestein
Michael Bluestein is an American keyboardist and songwriter best known as a longtime member of the rock band Foreigner.
-
E.
Michael Kagan
Michael Kagan is an Israeli technologist and entrepreneur best known as the co-founder and longtime chief technology officer of high-performance networking company Mellanox Technologies.
- 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_69c687e8cf188190b5f3ecffd681f04e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e969c5fc819096bc03bfba12d0cf |
completed | March 27, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8f2ffec108190ab60b0777d97dd89 |
completed | March 29, 2026, 9:38 a.m. |
| NEDg | Description generation | batch_69c8f39c8cdc81908918d6dc5948012e |
completed | March 29, 2026, 9:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8f46ab5ec819092508ddedc816c89 |
completed | March 29, 2026, 9:44 a.m. |
Created at: March 27, 2026, 2:52 p.m.