Triple
T12610474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riggins |
E301102
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Steve Riggins
Steve Riggins is a software engineer and longtime Apple developer community figure known for his work on Mac and iOS development tools and frameworks.
|
E992809
|
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: Steve Riggins | Statement: [Riggins, hasNotableBearer, Steve Riggins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Riggins Context triple: [Riggins, hasNotableBearer, Steve Riggins]
-
A.
Jerramy Stevens
Jerramy Stevens is a former American football tight end who played in the NFL, primarily for the Seattle Seahawks and Tampa Bay Buccaneers.
-
B.
Darius Rose
Darius Rose is an actor best known for appearing in the comedy film "Nacho Libre."
-
C.
David DeMott
David DeMott is an American entrepreneur best known as one of the founders behind the creation of the SeaWorld marine theme park concept.
-
D.
Nate Robinson
Nate Robinson is a former NBA point guard best known for his explosive athleticism and for becoming a multiple-time champion of the league’s Slam Dunk Contest despite his relatively short stature.
-
E.
Deron Bennett
Deron Bennett is a professional comic book letterer known for his work on various titles across major publishers.
- 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: Steve Riggins Triple: [Riggins, hasNotableBearer, Steve Riggins]
Generated description
Steve Riggins is a software engineer and longtime Apple developer community figure known for his work on Mac and iOS development tools and frameworks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steve Riggins Target entity description: Steve Riggins is a software engineer and longtime Apple developer community figure known for his work on Mac and iOS development tools and frameworks.
-
A.
Jerramy Stevens
Jerramy Stevens is a former American football tight end who played in the NFL, primarily for the Seattle Seahawks and Tampa Bay Buccaneers.
-
B.
Darius Rose
Darius Rose is an actor best known for appearing in the comedy film "Nacho Libre."
-
C.
David DeMott
David DeMott is an American entrepreneur best known as one of the founders behind the creation of the SeaWorld marine theme park concept.
-
D.
Nate Robinson
Nate Robinson is a former NBA point guard best known for his explosive athleticism and for becoming a multiple-time champion of the league’s Slam Dunk Contest despite his relatively short stature.
-
E.
Deron Bennett
Deron Bennett is a professional comic book letterer known for his work on various titles across major publishers.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954ea1d748190a848e8a7873e2ea5 |
completed | April 10, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ecf3e248190868c1eb864191f8b |
completed | May 2, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f66088890c8190b67a958d7f0822a6 |
completed | May 2, 2026, 8:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6613ce1108190851cf8491fe666c8 |
completed | May 2, 2026, 8:40 p.m. |
Created at: April 9, 2026, 5:11 p.m.