Triple
T37620389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danny Ford |
E936050
|
entity |
| Predicate | wonBowlGame |
P18823
|
FINISHED |
| Object |
1982 Orange Bowl
The 1982 Orange Bowl was a major college football postseason game in which Clemson, coached by Danny Ford, secured a victory that contributed to its national championship season.
|
E2235367
|
NE FINISHED |
How this triple was built (3 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: 1982 Orange Bowl | Statement: [Danny Ford, wonBowlGame, 1982 Orange Bowl]
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: 1982 Orange Bowl Triple: [Danny Ford, wonBowlGame, 1982 Orange Bowl]
Generated description
The 1982 Orange Bowl was a major college football postseason game in which Clemson, coached by Danny Ford, secured a victory that contributed to its national championship season.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonBowlGame Context triple: [Danny Ford, wonBowlGame, 1982 Orange Bowl]
-
A.
hasWonBowlGame
chosen
Indicates that a team or individual has achieved victory in a specific bowl game competition.
-
B.
hasWonBowlGames
Indicates that one entity has achieved victories in one or more bowl games associated with another entity.
-
C.
SuperBowlWin
Indicates that a team has won the Super Bowl in a given season or game.
-
D.
superBowlWin
Indicates that a team has won a Super Bowl championship game.
-
E.
wonSuperBowlAs
Indicates that one entity achieved victory in a Super Bowl in the specified role, position, or capacity associated with the other entity.
- F. None of above.
Provenance (6 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_69f76ed16b748190ad6add183b1be688 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaa1321b48190af92a3e7ec24ec5b |
completed | May 6, 2026, 8:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40afeaf43081908553c644b27a6a14 |
completed | June 28, 2026, 5:23 a.m. |
| NEDg | Description generation | batch_6a40b092e2a8819090f6f444992bdcff |
completed | June 28, 2026, 5:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a40b0f1db0c8190ac485f992c9ac90f |
completed | June 28, 2026, 5:28 a.m. |
| PD | Predicate disambiguation | batch_69fba8860f98819080b7bab05837b974 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.