Triple
T7147958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meetup.com |
E166616
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object |
Matt Meeker
Matt Meeker is an American entrepreneur best known for co-founding the social networking platform Meetup.com.
|
E645632
|
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 Meeker | Statement: [Meetup.com, founder, Matt Meeker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Meeker Context triple: [Meetup.com, founder, Matt Meeker]
-
A.
Matt Kaufmann
Matt Kaufmann is a computer scientist best known for his work on automated theorem proving and the ACL2 theorem prover, often in collaboration with J Strother Moore.
-
B.
Andy Fickman
Andy Fickman is an American film and television director known for family-friendly comedies and energetic, commercially successful studio movies.
-
C.
Kent McCord
Kent McCord is an American actor best known for his role as Officer Jim Reed on the television series "Adam-12."
-
D.
Andrew McCollum
Andrew McCollum is an American entrepreneur and software engineer best known as one of the original co-founders of Facebook.
-
E.
Jeff Pagliocca
Jeff Pagliocca is a basketball executive best known for serving as the general manager of the WNBA’s Chicago Sky.
- 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 Meeker Triple: [Meetup.com, founder, Matt Meeker]
Generated description
Matt Meeker is an American entrepreneur best known for co-founding the social networking platform Meetup.com.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matt Meeker Target entity description: Matt Meeker is an American entrepreneur best known for co-founding the social networking platform Meetup.com.
-
A.
Matt Kaufmann
Matt Kaufmann is a computer scientist best known for his work on automated theorem proving and the ACL2 theorem prover, often in collaboration with J Strother Moore.
-
B.
Andy Fickman
Andy Fickman is an American film and television director known for family-friendly comedies and energetic, commercially successful studio movies.
-
C.
Kent McCord
Kent McCord is an American actor best known for his role as Officer Jim Reed on the television series "Adam-12."
-
D.
Andrew McCollum
Andrew McCollum is an American entrepreneur and software engineer best known as one of the original co-founders of Facebook.
-
E.
Jeff Pagliocca
Jeff Pagliocca is a basketball executive best known for serving as the general manager of the WNBA’s Chicago Sky.
- 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_69c68886779c8190a8e3fbabffe68253 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7d6313c8190bdd34e700fc65502 |
completed | March 27, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ada513388190a02a3733bfedf0f7 |
completed | March 28, 2026, 10:29 a.m. |
| NEDg | Description generation | batch_69c7ae830c74819091d6d65ac6fba32b |
completed | March 28, 2026, 10:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7af1133b08190a32dccf82015c19e |
completed | March 28, 2026, 10:36 a.m. |
Created at: March 27, 2026, 2:46 p.m.