Triple
T6020817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rand Brooks |
E134057
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Brooks |
E221862
|
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: Brooks | Statement: [Rand Brooks, familyName, Brooks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brooks Context triple: [Rand Brooks, familyName, Brooks]
-
A.
Brooks
chosen
Brooks is a common English-language surname borne by numerous notable individuals across politics, arts, sports, and other fields.
-
B.
Burks-Brooks
Burks-Brooks is the hyphenated surname of civil rights activist Catherine Burks-Brooks, known for her role in the Freedom Rides during the U.S. Civil Rights Movement.
-
C.
Burks
Burks is the surname of Catherine Burks-Brooks, a noted American civil rights activist and Freedom Rider.
-
D.
Brock
Brock is a surname most notably associated with figures such as Isaac Brock, a British Army officer and colonial administrator famed for his leadership in the War of 1812.
-
E.
Grier
Grier is the surname of Pam Grier, an influential American actress renowned for her groundbreaking roles in 1970s blaxploitation films.
- 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_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04fba86a48190984e95d5adf7c7f1 |
completed | March 22, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1136da26081909b753fa8a2a91084 |
completed | March 23, 2026, 10:18 a.m. |
Created at: March 22, 2026, 4:07 p.m.