Triple
T9914186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Collegiate Hockey Conference |
E185824
|
entity |
| Predicate | hasCommissioner |
P3178
|
FINISHED |
| Object |
Josh Fenton
Josh Fenton is an American college sports executive best known for serving as commissioner of the National Collegiate Hockey Conference.
|
E829694
|
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: Josh Fenton | Statement: [National Collegiate Hockey Conference, hasCommissioner, Josh Fenton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josh Fenton Context triple: [National Collegiate Hockey Conference, hasCommissioner, Josh Fenton]
-
A.
Chris Fenton
Chris Fenton is a film producer and entertainment executive known for his work on projects such as the political drama "Chappaquiddick."
-
B.
Josh Futturman
Josh Futturman is the slacker janitor-turned-time-traveling hero played by Josh Hutcherson in the sci-fi comedy series "Future Man."
-
C.
Josh Noyes
Josh Noyes is a film editor known for his work on the psychological thriller "Enter Nowhere."
-
D.
Matt Fenton
Matt Fenton is a British theatre director and arts leader known for his innovative, youth-focused programming and leadership within the UK performing arts sector.
-
E.
Jason Fuchs
Jason Fuchs is an American screenwriter and actor best known for writing major studio films such as Wonder Woman (2017) and Pan (2015).
- 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: Josh Fenton Triple: [National Collegiate Hockey Conference, hasCommissioner, Josh Fenton]
Generated description
Josh Fenton is an American college sports executive best known for serving as commissioner of the National Collegiate Hockey Conference.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Josh Fenton Target entity description: Josh Fenton is an American college sports executive best known for serving as commissioner of the National Collegiate Hockey Conference.
-
A.
Chris Fenton
Chris Fenton is a film producer and entertainment executive known for his work on projects such as the political drama "Chappaquiddick."
-
B.
Josh Futturman
Josh Futturman is the slacker janitor-turned-time-traveling hero played by Josh Hutcherson in the sci-fi comedy series "Future Man."
-
C.
Josh Noyes
Josh Noyes is a film editor known for his work on the psychological thriller "Enter Nowhere."
-
D.
Matt Fenton
Matt Fenton is a British theatre director and arts leader known for his innovative, youth-focused programming and leadership within the UK performing arts sector.
-
E.
Jason Fuchs
Jason Fuchs is an American screenwriter and actor best known for writing major studio films such as Wonder Woman (2017) and Pan (2015).
- 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb53ba1ac8190ba655133b81596d7 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20dd82edc8190b405a3969864af77 |
completed | April 5, 2026, 7:23 a.m. |
| NEDg | Description generation | batch_69d20ed1f69c819099faa881a9a4368d |
completed | April 5, 2026, 7:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d212e3b864819092b8464f5a5ab696 |
completed | April 5, 2026, 7:44 a.m. |
Created at: March 30, 2026, 8:41 p.m.