Triple
T10974650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hero |
E259335
|
entity |
| Predicate | defendedBy |
P957
|
FINISHED |
| Object | Friar Francis |
E851623
|
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: Friar Francis | Statement: [Hero, defendedBy, Friar Francis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Friar Francis Context triple: [Hero, defendedBy, Friar Francis]
-
A.
Friar Francis
chosen
Friar Francis is a minor but pivotal clergyman in Shakespeare’s comedy "Much Ado About Nothing," known for devising the plan to fake Hero’s death to restore her honor.
-
B.
Friar Laurence
Friar Laurence is the well-intentioned Franciscan priest in Shakespeare’s "Romeo and Juliet" who secretly marries the young lovers and devises the ill-fated plan that leads to their tragic end.
-
C.
Friar Dom
Friar Dom is the costumed friar mascot who represents the Providence College Friars athletic teams, especially at men's ice hockey games.
-
D.
Friar Tuck
Friar Tuck is a jovial, stout friar and one of Robin Hood’s most famous Merry Men, known for his humor, loyalty, and surprising skill in combat.
-
E.
Brother Theodore
Brother Theodore was a German-American monologist and actor known for his darkly comedic, existential rants and cult appearances on late-night television and in offbeat films.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771f3794c8190b1992b4695139b62 |
completed | April 9, 2026, 9:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d7aeb66c8190b9d18642b2ad2ea0 |
completed | April 18, 2026, 1 a.m. |
Created at: April 8, 2026, 9:24 p.m.