Triple
T16122338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Real Estate |
E391178
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Matt Kallman
Matt Kallman is an American keyboardist best known for his work with the indie rock band Real Estate and previously with Girls.
|
E1212151
|
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: Matt Kallman | Statement: [Real Estate, hasMember, Matt Kallman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Kallman Context triple: [Real Estate, hasMember, Matt Kallman]
-
A.
Nick Kelson
Nick Kelson is the protagonist of the film "American Heart," around whom the story’s emotional and dramatic arc revolves.
-
B.
Jason Keller
Jason Keller is an American screenwriter best known for co-writing the racing drama film "Ford v Ferrari."
-
C.
Michael Keller
Michael Keller is an individual known for his role in establishing the Long Now Foundation, an organization dedicated to promoting long-term thinking and responsibility.
-
D.
Ken Schretzmann
Ken Schretzmann is a film editor known for his work on major animated features, including Guillermo del Toro's stop-motion adaptation of Pinocchio.
-
E.
Matt Oberg
Matt Oberg is an American actor and comedian known for his work in television comedies and voice acting roles.
- 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: Matt Kallman Triple: [Real Estate, hasMember, Matt Kallman]
Generated description
Matt Kallman is an American keyboardist best known for his work with the indie rock band Real Estate and previously with Girls.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matt Kallman Target entity description: Matt Kallman is an American keyboardist best known for his work with the indie rock band Real Estate and previously with Girls.
-
A.
Nick Kelson
Nick Kelson is the protagonist of the film "American Heart," around whom the story’s emotional and dramatic arc revolves.
-
B.
Jason Keller
Jason Keller is an American screenwriter best known for co-writing the racing drama film "Ford v Ferrari."
-
C.
Michael Keller
Michael Keller is an individual known for his role in establishing the Long Now Foundation, an organization dedicated to promoting long-term thinking and responsibility.
-
D.
Ken Schretzmann
Ken Schretzmann is a film editor known for his work on major animated features, including Guillermo del Toro's stop-motion adaptation of Pinocchio.
-
E.
Matt Oberg
Matt Oberg is an American actor and comedian known for his work in television comedies and voice acting roles.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e202027e78819091192aa62aedde13 |
completed | April 17, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c44fe7c81908eb32c0b0967365f |
completed | May 10, 2026, 8:05 a.m. |
| NEDg | Description generation | batch_6a003ec3c3c481909f2ad743b3cb486e |
completed | May 10, 2026, 8:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003f300e688190a12352fef2f801f9 |
completed | May 10, 2026, 8:17 a.m. |
Created at: April 10, 2026, 5 a.m.