Triple
T4979473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dykes to Watch Out For |
E111847
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Clarice |
E360810
|
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: Clarice | Statement: [Dykes to Watch Out For, hasCharacter, Clarice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clarice Context triple: [Dykes to Watch Out For, hasCharacter, Clarice]
-
A.
Clarice
chosen
Clarice is a feminine given name of Latin origin, historically associated with Italian nobility and later popularized in various cultures and works of fiction.
-
B.
Marguerite
Marguerite is a French given name, equivalent to Margaret, commonly used for women and also meaning "daisy" in French.
-
C.
Cora
Cora is the surname of Alex Cora, a former Major League Baseball infielder and current manager known for leading the Boston Red Sox.
-
D.
Cora
Cora is an indigenous Uto-Aztecan language spoken primarily by the Cora people in the Sierra del Nayar region of western Mexico.
-
E.
Cora Hudson
Cora Hudson is a supporting character on the sitcom "Mork & Mindy," known as Mindy’s warm, down-to-earth grandmother.
- 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_69bd441adc208190b70a033a0741d01e |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd723418e881908f1e43b1be0a2f17 |
completed | March 20, 2026, 4:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a0ac8d48190b9d050e26b67a794 |
completed | March 21, 2026, 12:07 p.m. |
Created at: March 20, 2026, 1:33 p.m.