Triple
T13555451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheldon High School |
E323759
|
entity |
| Predicate | hasNotableAlumnus |
P51
|
FINISHED |
| Object |
Mike Walter
Mike Walter is a former American football linebacker who played in the NFL, most notably for the San Francisco 49ers during the 1980s.
|
E1061552
|
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: Mike Walter | Statement: [Sheldon High School, hasNotableAlumnus, Mike Walter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Walter Context triple: [Sheldon High School, hasNotableAlumnus, Mike Walter]
-
A.
Mike Millward
Mike Millward was an English guitarist and singer best known as a member of the 1960s Merseybeat band The Fourmost.
-
B.
Mike Walton
Mike Walton is a former professional ice hockey forward best known for his scoring prowess in the NHL and WHA during the 1960s and 1970s.
-
C.
Steve Judd
Steve Judd is the aging, principled former lawman at the heart of the Western film "Ride the High Country," whose moral integrity drives the story’s central conflict.
-
D.
Steven Waddington
Steven Waddington is a British actor known for his roles in historical and adventure films and television dramas.
-
E.
Mike Burrows
Mike Burrows is a computer scientist best known for his influential work at Google on large-scale distributed systems, including co-authoring the Bigtable storage system.
- 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: Mike Walter Triple: [Sheldon High School, hasNotableAlumnus, Mike Walter]
Generated description
Mike Walter is a former American football linebacker who played in the NFL, most notably for the San Francisco 49ers during the 1980s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Walter Target entity description: Mike Walter is a former American football linebacker who played in the NFL, most notably for the San Francisco 49ers during the 1980s.
-
A.
Mike Millward
Mike Millward was an English guitarist and singer best known as a member of the 1960s Merseybeat band The Fourmost.
-
B.
Mike Walton
Mike Walton is a former professional ice hockey forward best known for his scoring prowess in the NHL and WHA during the 1960s and 1970s.
-
C.
Steve Judd
Steve Judd is the aging, principled former lawman at the heart of the Western film "Ride the High Country," whose moral integrity drives the story’s central conflict.
-
D.
Steven Waddington
Steven Waddington is a British actor known for his roles in historical and adventure films and television dramas.
-
E.
Mike Burrows
Mike Burrows is a computer scientist best known for his influential work at Google on large-scale distributed systems, including co-authoring the Bigtable storage system.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff3063c8190bd20149b3f7df352 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b05c844c8190bb4b72d2400a6355 |
completed | May 3, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f7b138158c8190957d43d529c37fa4 |
completed | May 3, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b1e0ab948190a046a68aa5e029a6 |
completed | May 3, 2026, 8:36 p.m. |
Created at: April 9, 2026, 9:47 p.m.