Triple
T3668338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catherine Burks-Brooks |
E77816
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Catherine Burks |
E77816
|
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: Catherine Burks | Statement: [Catherine Burks-Brooks, birthName, Catherine Burks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Catherine Burks Context triple: [Catherine Burks-Brooks, birthName, Catherine Burks]
-
A.
Catherine Burks-Brooks
chosen
Catherine Burks-Brooks was a civil rights activist best known for her courageous role as a Freedom Rider challenging racial segregation in the American South during the early 1960s.
-
B.
Patricia Booker
Patricia Booker is an Australian former flight attendant best known as the first wife of media mogul Rupert Murdoch.
-
C.
Molly Smith
Molly Smith is a daughter of FedEx founder and CEO Frederick W. Smith.
-
D.
Molly Smith
Molly Smith is an American film producer known for her work on acclaimed movies such as the crime thriller "Sicario."
-
E.
Martha Lykins
Martha Lykins was the wife of 19th-century American painter and politician George Caleb Bingham.
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc42997d88190bc765559bd7645fc |
completed | March 8, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c39bb9b48190ba34226ccfccd59e |
completed | March 14, 2026, 2:10 a.m. |
Created at: March 8, 2026, 3:25 p.m.