Triple
T20582630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kansas City Chiefs Hall of Fame |
E505697
|
entity |
| Predicate | notableInductee |
P7102
|
FINISHED |
| Object |
Jim Tyrer
Jim Tyrer was a dominant All-Pro offensive tackle in the American Football League and NFL, best known for anchoring the Kansas City Chiefs’ offensive line during their championship years.
|
E1440689
|
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: Jim Tyrer | Statement: [Kansas City Chiefs Hall of Fame, notableInductee, Jim Tyrer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Tyrer Context triple: [Kansas City Chiefs Hall of Fame, notableInductee, Jim Tyrer]
-
A.
Jim Tomlinson
Jim Tomlinson is a British jazz saxophonist, composer, and producer known for his long-standing musical collaboration with vocalist Stacey Kent.
-
B.
Stephen Pycroft
Stephen Pycroft is a British businessman best known as the founder of the construction and consultancy company Mace Group.
-
C.
Phil Garrod
Phil Garrod is a composer best known for creating energetic, guitar-driven sports theme music widely used in American television broadcasts.
-
D.
Martin Elsbury
Martin Elsbury is a film editor best known for his work on the chess-themed film "Deep Blue."
-
E.
Chris Morley
Chris Morley is a cinematographer best known for his work on the dark fantasy stop-motion film "Mad God."
- 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: Jim Tyrer Triple: [Kansas City Chiefs Hall of Fame, notableInductee, Jim Tyrer]
Generated description
Jim Tyrer was a dominant All-Pro offensive tackle in the American Football League and NFL, best known for anchoring the Kansas City Chiefs’ offensive line during their championship years.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jim Tyrer Target entity description: Jim Tyrer was a dominant All-Pro offensive tackle in the American Football League and NFL, best known for anchoring the Kansas City Chiefs’ offensive line during their championship years.
-
A.
Jim Tomlinson
Jim Tomlinson is a British jazz saxophonist, composer, and producer known for his long-standing musical collaboration with vocalist Stacey Kent.
-
B.
Stephen Pycroft
Stephen Pycroft is a British businessman best known as the founder of the construction and consultancy company Mace Group.
-
C.
Phil Garrod
Phil Garrod is a composer best known for creating energetic, guitar-driven sports theme music widely used in American television broadcasts.
-
D.
Martin Elsbury
Martin Elsbury is a film editor best known for his work on the chess-themed film "Deep Blue."
-
E.
Chris Morley
Chris Morley is a cinematographer best known for his work on the dark fantasy stop-motion film "Mad God."
- 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a90f7e34819086b1745dcd53ba25 |
completed | April 20, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08bb090bdc819081687127f0a717a5 |
completed | May 16, 2026, 6:44 p.m. |
| NEDg | Description generation | batch_6a08bba2e85881909ae887fc5bc3121f |
completed | May 16, 2026, 6:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08bc410f008190b00bf4956d591176 |
completed | May 16, 2026, 6:49 p.m. |
Created at: April 16, 2026, 11:40 a.m.