Triple
T20227543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Iago |
E495427
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Iago |
—
|
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: Iago | Statement: [Mount Iago, namedAfter, Iago]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iago Context triple: [Mount Iago, namedAfter, Iago]
-
A.
Iago
chosen
Iago is a given name, notably borne by the treacherous antagonist in Shakespeare’s play "Othello" and used as a variant of James in several languages.
-
B.
Iago
Iago is the wisecracking, scheming parrot sidekick of the villain Jafar in Disney's Aladdin franchise.
-
C.
Othello (character)
Othello is the Moorish general of the Venetian army and tragic protagonist of Shakespeare’s play "Othello," whose downfall is orchestrated through jealousy and manipulation.
-
D.
Hieronimo
Hieronimo is the vengeful protagonist and grieving father in Thomas Kyd’s Elizabethan revenge tragedy *The Spanish Tragedy*.
-
E.
Borachio
Borachio is a minor villain in Shakespeare's comedy "Much Ado About Nothing," a follower of Don John who helps orchestrate the plot to disgrace Hero.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fda9428819098467e7e8c547a07 |
completed | April 20, 2026, 6:26 p.m. |
Created at: April 11, 2026, 11:39 p.m.