Triple
T25639941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence Russell Brewer |
E642809
|
entity |
| Predicate | victimName |
P69836
|
FINISHED |
| Object | James Byrd Jr. |
—
|
NE NERFINISHED |
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: James Byrd Jr. | Statement: [Lawrence Russell Brewer, victimName, James Byrd Jr.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: victimName Context triple: [Lawrence Russell Brewer, victimName, James Byrd Jr.]
-
A.
victimFullName
chosen
Indicates the complete personal name of the individual who is the victim in the described event or relationship.
-
B.
victimTitle
Indicates that one entity holds a title, role, or designation specifically in the capacity of being a victim in relation to another entity or event.
-
C.
victimTitleAtDeath
Indicates the formal title or position held by the victim at the time of their death.
-
D.
victimAlias
Indicates that an entity is known or referred to by an alternative name specifically in the role of a victim.
-
E.
victimCharacter
Indicates that one entity is the victim or target of harm, wrongdoing, or an adverse action carried out by another entity.
- F. None of above.
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_69e77e7ce28081908b08d65ee6e5c8be |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b37a5648190b10d33ae205ccfee |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 21, 2026, 5:39 p.m.