Triple
T2908928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bear Stearns |
E63634
|
entity |
| Predicate | ceo |
P2568
|
FINISHED |
| Object |
Alan Schwartz
Alan Schwartz is an American investment banker best known for serving as the last chief executive officer of Bear Stearns during its 2008 collapse and sale to JPMorgan Chase.
|
E340018
|
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: Alan Schwartz | Statement: [Bear Stearns, ceo, Alan Schwartz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan Schwartz Context triple: [Bear Stearns, ceo, Alan Schwartz]
-
A.
Daniel Scharf
Daniel Scharf is a film producer best known for his work on the influential 1992 Australian drama "Romper Stomper."
-
B.
Philip Brownstein
Philip Brownstein was a professional basketball coach best known for leading the early NBA-era Chicago Stags franchise.
-
C.
Allen Shapiro
Allen Shapiro is an American entertainment executive and film producer known for his work on projects such as the Western film "The Quick and the Dead."
-
D.
Don Katz
Don Katz is an American entrepreneur and author best known as the founder of the audiobook and spoken-word entertainment company Audible.
-
E.
Steven Baigelman
Steven Baigelman is an American screenwriter and producer known for his work on biographical and crime dramas in film and television.
- 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: Alan Schwartz Triple: [Bear Stearns, ceo, Alan Schwartz]
Generated description
Alan Schwartz is an American investment banker best known for serving as the last chief executive officer of Bear Stearns during its 2008 collapse and sale to JPMorgan Chase.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alan Schwartz Target entity description: Alan Schwartz is an American investment banker best known for serving as the last chief executive officer of Bear Stearns during its 2008 collapse and sale to JPMorgan Chase.
-
A.
Michael Saltzman
Michael Saltzman is a screenwriter best known for co-writing the 2006 reboot of "The Pink Panther" starring Steve Martin.
-
B.
Daniel Scharf
Daniel Scharf is a film producer best known for his work on the influential 1992 Australian drama "Romper Stomper."
-
C.
Philip Brownstein
Philip Brownstein was a professional basketball coach best known for leading the early NBA-era Chicago Stags franchise.
-
D.
Allen Shapiro
Allen Shapiro is an American entertainment executive and film producer known for his work on projects such as the Western film "The Quick and the Dead."
-
E.
Don Katz
Don Katz is an American entrepreneur and author best known as the founder of the audiobook and spoken-word entertainment company Audible.
- 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_69ab4c44ab448190b9411324e8a1fc1d |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe0d329c88190b6fcaef0be1799eb |
completed | March 7, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b276cc19b48190a952015c9e501dd6 |
completed | March 12, 2026, 8:18 a.m. |
| NEDg | Description generation | batch_69b277a9ab548190a8b9822db2db3d0d |
completed | March 12, 2026, 8:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b27b88c9648190a4a8271452d8ed3e |
completed | March 12, 2026, 8:38 a.m. |
Created at: March 6, 2026, 10:11 p.m.