Triple
T31954642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Act 1, Scene 1 of Othello |
E815869
|
entity |
| Predicate | notableLineSpeaker |
P84993
|
FINISHED |
| Object | Iago |
E6508
|
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: Iago | Statement: [Act 1, Scene 1 of Othello, notableLineSpeaker, Iago]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableLineSpeaker Context triple: [Act 1, Scene 1 of Othello, notableLineSpeaker, Iago]
-
A.
famousLineSpeaker
chosen
Indicates that the subject is the person who spoke or delivered the famous line referenced by the object.
-
B.
notableStar
Indicates that the subject is a star (or stellar object) that is distinguished or noteworthy in some significant way, such as brightness, fame, or scientific interest, relative to other stars.
-
C.
notableSpeechBy
Indicates that a particular speech or address is notably given or delivered by a specific entity.
-
D.
notablePersonnel
Indicates that the subject has associated individuals who are particularly important, distinguished, or prominent in relation to it.
-
E.
notableSpokenWordPerformer
Indicates that the subject is a well-known or distinguished performer in spoken word, such as poetry, storytelling, or similar verbal performance arts.
- F. None of above.
Provenance (4 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_69f348f4ec708190abbb2a7c3ed58844 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2eb14034e0819088f0cbbb5b77d160 |
completed | June 14, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:08 a.m.