Triple
T16645431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Reed |
E404455
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Richard Reed |
E404455
|
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: Richard Reed | Statement: [Richard Reed, name, Richard Reed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Reed Context triple: [Richard Reed, name, Richard Reed]
-
A.
Richard Reed
chosen
Richard Reed is a British entrepreneur best known as a co-founder of the smoothie and juice company Innocent Drinks.
-
B.
Christopher Reid
Christopher Reid is a British poet and former poetry editor known for his witty, emotionally resonant verse and for winning major literary awards such as the Costa Book Award.
-
C.
Steve Reed
Steve Reed is a British Labour Party politician who serves as the Member of Parliament for the Croydon North constituency.
-
D.
J.R. Reed
J.R. Reed is a former American football safety best known for his college career at the University of Georgia and his time in the NFL, including with the Philadelphia Eagles.
-
E.
Jeremy Reed
Jeremy Reed is an art director known for his work on the film "The Runaways."
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad4735c81908a3a227bf02ca489 |
completed | April 18, 2026, 12:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00918e61ac8190a01baf353a6a745c |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:18 a.m.