Triple
T9872968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brad Garrett |
E240002
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object |
Brad H. Gerstenfeld
Brad H. Gerstenfeld, better known as Brad Garrett, is an American actor and stand-up comedian best known for his role as Robert Barone on the sitcom "Everybody Loves Raymond."
|
E838768
|
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: Brad H. Gerstenfeld | Statement: [Brad Garrett, birthName, Brad H. Gerstenfeld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brad H. Gerstenfeld Context triple: [Brad Garrett, birthName, Brad H. Gerstenfeld]
-
A.
Michael Berman
Michael Berman is a writer and contributor known for his work published in George magazine.
-
B.
Steven G. Ehrlich
Steven G. Ehrlich is an American jurist who served as a justice on the Florida Supreme Court.
-
C.
Steven A. Katz
Steven A. Katz is an American screenwriter best known for writing the metafictional horror film "Shadow of the Vampire."
-
D.
Steven M. Willner
Steven M. Willner is an astronomer known for his leadership role in major extragalactic and cosmological surveys using space-based observatories.
-
E.
Michael Lehmann
Michael Lehmann is an American film and television director best known for the dark comedy "Heathers" and various other Hollywood comedies.
- 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: Brad H. Gerstenfeld Triple: [Brad Garrett, birthName, Brad H. Gerstenfeld]
Generated description
Brad H. Gerstenfeld, better known as Brad Garrett, is an American actor and stand-up comedian best known for his role as Robert Barone on the sitcom "Everybody Loves Raymond."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brad H. Gerstenfeld Target entity description: Brad H. Gerstenfeld, better known as Brad Garrett, is an American actor and stand-up comedian best known for his role as Robert Barone on the sitcom "Everybody Loves Raymond."
-
A.
Michael Berman
Michael Berman is a writer and contributor known for his work published in George magazine.
-
B.
Steven G. Ehrlich
Steven G. Ehrlich is an American jurist who served as a justice on the Florida Supreme Court.
-
C.
Steven A. Katz
Steven A. Katz is an American screenwriter best known for writing the metafictional horror film "Shadow of the Vampire."
-
D.
Steven M. Willner
Steven M. Willner is an astronomer known for his leadership role in major extragalactic and cosmological surveys using space-based observatories.
-
E.
Michael Lehmann
Michael Lehmann is an American film and television director best known for the dark comedy "Heathers" and various other Hollywood comedies.
- 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_69ca84e8a0788190b9061811d50fd554 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3f754008190abe3fe034b42908e |
completed | April 2, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d299c51ea08190902e03552fbe7ebb |
completed | April 5, 2026, 5:20 p.m. |
| NEDg | Description generation | batch_69d29b7430248190b8965eaf1286dd7c |
completed | April 5, 2026, 5:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29c7ba9f081908f4614098d6c954b |
completed | April 5, 2026, 5:31 p.m. |
Created at: March 30, 2026, 8:37 p.m.