Triple
T16291592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cady McClain |
E395535
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Cady |
E395535
|
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: Cady | Statement: [Cady McClain, givenName, Cady]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cady Context triple: [Cady McClain, givenName, Cady]
-
A.
Cady
Cady is a surname of English origin borne by various notable individuals, including American jurist Daniel Cady.
-
B.
Cady
Cady is a river in the Conflent region of southern France, known for flowing through the eastern Pyrenees before joining the Têt River.
-
C.
Cady Heron
Cady Heron is the naive, homeschooled teenager who becomes entangled in high school cliques and social politics in the teen comedy film "Mean Girls."
-
D.
Cady Short-Thompson
Cady Short-Thompson is an American academic leader and administrator who serves as president of Northern Kentucky University.
-
E.
Cady McClain
chosen
Cady McClain is an American actress and director best known for her Emmy-winning roles on daytime soap operas, including All My Children and As the World Turns.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24919345881909ba4e7fe2e59340f |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a5047a7c8190bac0ac9888547d16 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:05 a.m.