Triple
T35879680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NFL Championship 1964 |
E1037472
|
entity |
| Predicate | notablePlayerClevelandBrowns |
P206089
|
FINISHED |
| Object | Jim Brown |
E152703
|
NE 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: Jim Brown | Statement: [NFL Championship 1964, notablePlayerClevelandBrowns, Jim Brown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notablePlayerClevelandBrowns Context triple: [NFL Championship 1964, notablePlayerClevelandBrowns, Jim Brown]
-
A.
notableLinebacker
Indicates that the subject is a linebacker who is particularly prominent, distinguished, or well-recognized in that role.
-
B.
notableCornerback
Indicates that the subject is recognized as an especially distinguished or prominent cornerback in American football.
-
C.
ClevelandBrownsQuarterback
Indicates that the subject is or serves as a quarterback for the Cleveland Browns football team.
-
D.
notablePlayQuarterback
Indicates that the subject is notably recognized for playing the position of quarterback, typically in a significant or distinguished context.
-
E.
notableUndraftedPlayer
Indicates that a player is recognized for significant achievements or impact despite not having been selected in a professional league draft.
- 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_69f76e1e701c8190a4990d4978ce4fe6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38a4f4cff48190800057f11b9d46b9 |
completed | June 22, 2026, 2:59 a.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037ce53de881908cf14141cf3bc570 |
completed | May 12, 2026, 7:17 p.m. |
Created at: May 3, 2026, 4:06 p.m.