Triple
T6499170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Ellis |
E148836
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Joe Ellis |
E148836
|
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: Joe Ellis | Statement: [Joe Ellis, name, Joe Ellis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Ellis Context triple: [Joe Ellis, name, Joe Ellis]
-
A.
Joe Ellis
chosen
Joe Ellis is an American sports executive best known as the longtime president and CEO of the Denver Broncos in the National Football League.
-
B.
Mark Ellam
Mark Ellam is a cinematographer known for his work on the film "The Take."
-
C.
David Ellingson
David Ellingson is a songwriter best known for co-writing the hit ballad "Don't Fall in Love with a Dreamer," popularized by Kenny Rogers and Kim Carnes.
-
D.
David Hilliard
David Hilliard is an American activist and former chief of staff of the Black Panther Party, known for his prominent role in the Black Power movement of the 1960s and 1970s.
-
E.
Steven Elliott
Steven Elliott is an actor known for his role in the National Theatre’s acclaimed stage production of "Frankenstein."
- 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_69c687e9ad288190bae5bcac9c8ac855 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c68ad1c46c819089db43e7c3a8d160 |
completed | March 27, 2026, 1:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb16d6a48190b6871e55fda2e1a6 |
completed | March 27, 2026, 6:23 p.m. |
Created at: March 27, 2026, 1:41 p.m.