Triple
T34769096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Session |
E1002306
|
entity |
| Predicate | hasSpokenIntroductionBy |
P34457
|
FINISHED |
| Object | Albert King |
—
|
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: Albert King | Statement: [In Session, hasSpokenIntroductionBy, Albert King]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpokenIntroductionBy Context triple: [In Session, hasSpokenIntroductionBy, Albert King]
-
A.
hasSpokenWordIntro
Indicates that an entity includes or features an introductory segment performed in spoken word form.
-
B.
hasLiveSpokenIntroductions
chosen
Indicates that one entity provides live, spoken introductory remarks or presentations for another entity or event.
-
C.
hasSpokenAbout
Indicates that one entity has verbally expressed, discussed, or mentioned another entity or topic.
-
D.
hasSpokenSampleBy
Indicates that an entity has a spoken or audio sample that was produced or performed by a specified agent.
-
E.
spokenBefore
Indicates that one entity has spoken or produced speech earlier in time than another entity.
- 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_69f76db20dac8190b1e8d0ca4dc1d59f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fe6c811bcc81908b1e1b1f8bcb071b |
completed | May 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69fe6c026d5481908b7a814dcf38c183 |
completed | May 8, 2026, 11:04 p.m. |
Created at: May 3, 2026, 3:59 p.m.