Triple
T20416330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Costard |
E500721
|
entity |
| Predicate | associatedWithCharacter |
P1481
|
FINISHED |
| Object | Boyet |
—
|
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: Boyet | Statement: [Costard, associatedWithCharacter, Boyet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boyet Context triple: [Costard, associatedWithCharacter, Boyet]
-
A.
Boyet
chosen
Boyet is a witty and perceptive French lord in Shakespeare’s comedy "Love’s Labour’s Lost," serving as an attendant and advisor to the Princess of France.
-
B.
Boye
Boye is the surname of Karin Boye, a renowned Swedish poet and novelist known for her modernist works and the dystopian novel "Kallocain."
-
C.
Bohley
Bohley is a German surname most notably borne by Bärbel Bohley, a prominent East German civil rights activist and painter.
-
D.
Boggs
Boggs is a surname most notably associated with American politician Hale Boggs, who served as a prominent Democratic leader in the U.S. House of Representatives.
-
E.
Weaver
Weaver is a common English occupational surname historically given to people who worked as weavers of cloth or textiles.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a4437448190b07b6e6e3de5830f |
completed | April 20, 2026, 7:11 p.m. |
Created at: April 16, 2026, 11:30 a.m.