Triple
T10723909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raymond E. Brown |
E252889
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Raymond |
E206680
|
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: Raymond | Statement: [Raymond E. Brown, givenName, Raymond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raymond Context triple: [Raymond E. Brown, givenName, Raymond]
-
A.
Raymond
Raymond is the furry blue sea-dog mascot of Major League Baseball’s Tampa Bay Rays, known for his playful antics at the team’s home games.
-
B.
Raymond
Raymond is the middle name of U.S. Senator Joseph McCarthy, the prominent figure behind the anti-communist "McCarthyism" movement in the 1950s.
-
C.
Raymond
Raymond is the given name of Ray Tomlinson, the American computer programmer widely credited with inventing networked email and introducing the use of the "@" symbol in email addresses.
-
D.
Raymond
Raymond is the given first name of Teller, the silent half of the famous magician duo Penn & Teller.
-
E.
Raymond
chosen
Raymond is a masculine given name of Germanic origin that has been widely used in English-speaking countries.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70d46234081908e147638d0cb7e22 |
completed | April 9, 2026, 2:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb741a174819098aafac90d29d50a |
completed | April 12, 2026, 3:16 p.m. |
Created at: April 8, 2026, 9:14 p.m.