Triple
T25759427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramon George Sneyd |
E648695
|
entity |
| Predicate | notRealNameOf |
P159238
|
FINISHED |
| Object | a distinct individual separate from James Earl Ray |
—
|
LITERAL 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: a distinct individual separate from James Earl Ray | Statement: [Ramon George Sneyd, notRealNameOf, a distinct individual separate from James Earl Ray]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notRealNameOf Context triple: [Ramon George Sneyd, notRealNameOf, a distinct individual separate from James Earl Ray]
-
A.
realName
Indicates that one entity is the actual, full, or birth name of another entity, which may be known by an alias, nickname, or alternate identity.
-
B.
notOfficialNameOf
Indicates that a given name or label is used for an entity but is not its official or formally recognized name.
-
C.
notNamedAfter
Indicates that one entity is explicitly not named in honor of, or derived from the name of, another entity.
-
D.
hasNameGivenTo
Indicates that one entity is the name that has been assigned or given to another entity.
-
E.
givenNameFor
Indicates that one entity is the personal first name assigned to or used for another entity.
- F. None of above. chosen
Provenance (4 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_69e7ab314d788190b3abe19e114080e1 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fd857cfc81909fe95665d2241a72 |
completed | May 2, 2026, 1:35 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 22, 2026, 4:44 a.m.