Triple
T30870288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Desdemona’s handkerchief |
E786318
|
entity |
| Predicate | misunderstoodByCharacter |
P38994
|
FINISHED |
| Object | Othello |
—
|
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: Othello | Statement: [Desdemona’s handkerchief, misunderstoodByCharacter, Othello]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: misunderstoodByCharacter Context triple: [Desdemona’s handkerchief, misunderstoodByCharacter, Othello]
-
A.
misinterpretedBy
chosen
Indicates that something (such as a statement, action, or signal) is understood incorrectly or in a way not intended by a particular entity.
-
B.
explainedByCharacter
Indicates that something (such as an event, situation, or piece of information) is explained or clarified by a particular character.
-
C.
resolvedByCharacter
Indicates that a particular issue, conflict, or problem is brought to a conclusion or solved through the actions or decisions of a specific character.
-
D.
perceivedCharacter
Indicates how one entity subjectively views or interprets the traits, qualities, or persona of another entity.
-
E.
disputeCharacter
Indicates that one party challenges, questions, or disagrees with the nature, qualities, or integrity of another party’s character.
- F. None of above.
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_69f224b9df2c819086f55f8bcf7f382e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f691d0b19c819085b47b20f55e39cb |
completed | May 3, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:47 p.m.