Triple
T17716645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Horsemen of Notre Dame |
E442216
|
entity |
| Predicate | roleOfDonMiller |
P128702
|
FINISHED |
| Object | halfback |
—
|
LITERAL FINISHED |
How this triple was built (2 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: halfback | Statement: [Four Horsemen of Notre Dame, roleOfDonMiller, halfback]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfDonMiller Context triple: [Four Horsemen of Notre Dame, roleOfDonMiller, halfback]
-
A.
roleOfVanConner
Indicates that the specified role or function is associated with, performed by, or attributed to Van Conner.
-
B.
roleOfDanielDines
Indicates that the specified role or position is held by Daniel Dines in relation to another entity or context.
-
C.
roleOfMikeJones
Indicates that the specified entity holds the role, position, or function associated with Mike Jones.
-
D.
roleOfBen Wells
Indicates the specific role, position, or character that Ben Wells holds or performs in a given context.
-
E.
roleOfOllieWilliams
Indicates the specific role, function, or capacity that Ollie Williams holds or performs in relation to another entity or context.
- F. None of above. chosen
Provenance (4 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47481663c8190a1110385e5596ab0 |
completed | April 19, 2026, 6:21 a.m. |
| PD | Predicate disambiguation | batch_69e3cde601d4819097903f471f1fe99a |
completed | April 18, 2026, 6:31 p.m. |
| PDg | Predicate description generation | batch_69e3d018227c8190b6624a2199e765e8 |
completed | April 18, 2026, 6:40 p.m. |
Created at: April 10, 2026, 10:06 a.m.