Triple
T16933108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WrestleMania II |
E410760
|
entity |
| Predicate | celebrityInvolvement |
P15562
|
FINISHED |
| Object |
Bill Fralic
Bill Fralic was an American professional football offensive lineman, best known for his Pro Bowl career with the Atlanta Falcons in the 1980s.
|
E1260806
|
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: Bill Fralic | Statement: [WrestleMania II, celebrityInvolvement, Bill Fralic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Fralic Context triple: [WrestleMania II, celebrityInvolvement, Bill Fralic]
-
A.
Brad Goreski
Brad Goreski is a Canadian-American celebrity fashion stylist and television personality known for his sharp red-carpet commentary and appearances on style-focused TV shows.
-
B.
Michael Nolin
Michael Nolin is an American film producer best known for his work on the acclaimed music drama "Mr. Holland's Opus."
-
C.
Michael Blaha
Michael Blaha is a computer scientist and software engineer known for his pioneering work in object-oriented modeling and database design, including co-developing the Object Modeling Technique (OMT).
-
D.
Ken Fradley
Ken Fradley is a musician best known as a member of the new wave band Tom Tom Club.
-
E.
John Sikela
John Sikela was a Golden Age comic book artist best known for his work on early Superman stories for DC Comics.
- 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: Bill Fralic Triple: [WrestleMania II, celebrityInvolvement, Bill Fralic]
Generated description
Bill Fralic was an American professional football offensive lineman, best known for his Pro Bowl career with the Atlanta Falcons in the 1980s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bill Fralic Target entity description: Bill Fralic was an American professional football offensive lineman, best known for his Pro Bowl career with the Atlanta Falcons in the 1980s.
-
A.
Brad Goreski
Brad Goreski is a Canadian-American celebrity fashion stylist and television personality known for his sharp red-carpet commentary and appearances on style-focused TV shows.
-
B.
Michael Nolin
Michael Nolin is an American film producer best known for his work on the acclaimed music drama "Mr. Holland's Opus."
-
C.
Michael Blaha
Michael Blaha is a computer scientist and software engineer known for his pioneering work in object-oriented modeling and database design, including co-developing the Object Modeling Technique (OMT).
-
D.
Ken Fradley
Ken Fradley is a musician best known as a member of the new wave band Tom Tom Club.
-
E.
John Sikela
John Sikela was a Golden Age comic book artist best known for his work on early Superman stories for DC Comics.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cf2650e08190b669d0cf2cf1275b |
completed | April 18, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a017932fd5481909bf3c63409fd6da6 |
completed | May 11, 2026, 6:37 a.m. |
| NEDg | Description generation | batch_6a017d46a0b88190a016ae624d6f4dd4 |
completed | May 11, 2026, 6:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a017dc25d648190ab5031ee8ad09d91 |
completed | May 11, 2026, 6:57 a.m. |
Created at: April 10, 2026, 5:30 a.m.