Triple
T262955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thurgood Marshall U.S. Courthouse |
E5789
|
entity |
| Predicate | namedForRoleOfHonoree |
P4096
|
FINISHED |
| Object | first African American U.S. Supreme Court Justice |
—
|
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: first African American U.S. Supreme Court Justice | Statement: [Thurgood Marshall U.S. Courthouse, namedForRoleOfHonoree, first African American U.S. Supreme Court Justice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedForRoleOfHonoree Context triple: [Thurgood Marshall U.S. Courthouse, namedForRoleOfHonoree, first African American U.S. Supreme Court Justice]
-
A.
hasNotableHonoree
Indicates that an entity is notably dedicated to, named after, or honors a particular person or group.
-
B.
ceremonialRole
Indicates that an entity holds a formal, often symbolic or honorific, position or function within a ceremony or ritual context.
-
C.
commemoratesRoleAs
chosen
Indicates that something serves to honor or recognize a specific role or position held by an entity.
-
D.
honourType
Indicates the specific category or classification of an honour or award associated with an entity.
-
E.
retiredNumberHonoree
Indicates that an entity is honored by having its jersey or identification number formally retired by a team or organization.
- 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_69a258dd8ea08190ac554a1cc8dfd8c3 |
completed | Feb. 28, 2026, 2:54 a.m. |
| NER | Named-entity recognition | batch_69a25d8c7f448190af9145256f994177 |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b6e07748190834022a65ba6d803 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.