Triple
T14979673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nika riots |
E373540
|
entity |
| Predicate | hasNotableSpeech |
P42955
|
FINISHED |
| Object | Theodora’s speech urging Justinian not to flee |
—
|
LITERAL 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: Theodora’s speech urging Justinian not to flee | Statement: [Nika riots, hasNotableSpeech, Theodora’s speech urging Justinian not to flee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableSpeech Context triple: [Nika riots, hasNotableSpeech, Theodora’s speech urging Justinian not to flee]
-
A.
hasNotableSpeaker
Indicates that an event, gathering, or occasion features a speaker who is distinguished or noteworthy in some significant way.
-
B.
notableSpeechBy
Indicates that a particular speech or address is notably given or delivered by a specific entity.
-
C.
notableSpeechAssociated
chosen
Indicates that a notable or significant speech is associated with a particular entity, such as a person, event, or location.
-
D.
hasNotablePhrase
Indicates that an entity is associated with a specific phrase or expression that is considered notable or characteristic of it.
-
E.
hasNotableSentence
Indicates that an entity is associated with a particularly important, famous, or otherwise noteworthy sentence.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6fcebf481909f72cab577560d82 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:51 a.m.