Triple
T18069056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cathy Engelbert |
E432372
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Cathy Engelbert |
—
|
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: Cathy Engelbert | Statement: [Cathy Engelbert, name, Cathy Engelbert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cathy Engelbert Context triple: [Cathy Engelbert, name, Cathy Engelbert]
-
A.
Cathy Engelbert
chosen
Cathy Engelbert is an American business executive who became the first commissioner of the WNBA after previously serving as CEO of Deloitte.
-
B.
Cathy Brenner
Cathy Brenner is a fictional character associated with Lydia Brenner’s family in Alfred Hitchcock’s 1963 horror film "The Birds."
-
C.
Cynthia Ludwig
Cynthia Ludwig is a film editor known for her work on the 2009 horror film "My Bloody Valentine 3D."
-
D.
Cathy Meils
Cathy Meils is a film editor known for her work on the horror sequel "Scream 4."
-
E.
Cathy Rush
Cathy Rush is a pioneering American women's basketball coach best known for leading Immaculata College to multiple national championships in the early 1970s and helping elevate women's college basketball.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ccebff748190b41d2edd93994c67 |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.