Triple
T1839862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wesley Addy |
E41149
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Addy |
E41149
|
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: Addy | Statement: [Wesley Addy, familyName, Addy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Addy Context triple: [Wesley Addy, familyName, Addy]
-
A.
Addy
chosen
Addy is the surname of Wesley Addy, an American actor known for his work in film, television, and on Broadway.
-
B.
Addie
Addie is the given name of Addie Mae Collins, one of the four African-American girls killed in the 1963 16th Street Baptist Church bombing in Birmingham, Alabama, a pivotal event in the U.S. civil rights movement.
-
C.
Andi
Andi is a common diminutive or nickname for the given name Andreas.
-
D.
Addison Richards
Addison Richards was an American character actor known for his prolific work in film and early television during the 1930s–1950s.
-
E.
Jody
Jody is a given name used for people of any gender, often as a diminutive of names like Joseph or Judith.
- 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb03b3eb08190ae68d8476fc89c7f |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9bb92a88190a00b102d3be0383c |
completed | March 8, 2026, 7:10 p.m. |
Created at: March 4, 2026, 7:33 p.m.