Triple
T13623315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernie Holmes |
E325512
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Mean Joe Greene |
E68430
|
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: Mean Joe Greene | Statement: [Ernie Holmes, associatedWith, Mean Joe Greene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mean Joe Greene Context triple: [Ernie Holmes, associatedWith, Mean Joe Greene]
-
A.
Joe Greene
chosen
Joe Greene is a legendary Pro Football Hall of Fame defensive tackle who anchored the Pittsburgh Steelers' dominant "Steel Curtain" defense in the 1970s.
-
B.
Franco Harris
Franco Harris was a Hall of Fame NFL running back best known for his role in the Pittsburgh Steelers’ 1970s dynasty and the iconic “Immaculate Reception.”
-
C.
Frank Clark
Frank Clark was an early 20th-century American film actor known for his roles in silent-era adventure and drama productions.
-
D.
Gale Sayers
Gale Sayers was a Hall of Fame NFL running back for the Chicago Bears, renowned for his electrifying speed and elusive running style during the 1960s.
-
E.
Biz Mackey
Biz Mackey was a legendary Negro Leagues catcher and manager renowned for his defensive brilliance, powerful hitting, and influential role in mentoring future stars like Roy Campanella.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe9b0b648190afee93121483f45f |
completed | April 12, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77fa4c5fc8190bd791f181fce2aa1 |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:50 p.m.