Triple
T23672621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Round K.O. |
E584772
|
entity |
| Predicate | featuresSpokenAppearanceBy |
P36061
|
FINISHED |
| Object | Mike Tyson |
—
|
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: Mike Tyson | Statement: [Second Round K.O., featuresSpokenAppearanceBy, Mike Tyson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresSpokenAppearanceBy Context triple: [Second Round K.O., featuresSpokenAppearanceBy, Mike Tyson]
-
A.
speakerFeatures
Indicates that certain characteristics, attributes, or properties are associated with a speaker in a given context.
-
B.
featuresSpokenOrChildVocal
Indicates that the subject has characteristics related to spoken language or vocalizations produced by a child.
-
C.
includesSpokenWordAppearanceBy
chosen
Indicates that something (such as a work, recording, or event) contains an instance where a person or entity appears through spoken words.
-
D.
hasCharacterAppearance
Indicates that a character appears or is visually represented within a given work, scene, or context.
-
E.
featuresResponseOfPeople
Indicates a relationship where something presents or includes the reactions, opinions, or feedback expressed by people.
- 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_69e24901421881908c17a5293bdd4a8e |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b410bd788190b2c6853e13287ace |
completed | April 29, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:50 p.m.