Triple
T4757978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molly Bloom |
E105632
|
entity |
| Predicate | closingWords |
P45522
|
FINISHED |
| Object | yes I said yes I will Yes |
—
|
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: yes I said yes I will Yes | Statement: [Molly Bloom, closingWords, yes I said yes I will Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closingWords Context triple: [Molly Bloom, closingWords, yes I said yes I will Yes]
-
A.
closingSection
Indicates that one entity serves as the concluding or final section of another entity (such as a document, event, or structured sequence).
-
B.
closingTheme
Indicates that one entity serves as the ending or closing theme (such as a song or musical piece) associated with another entity, typically a media work or episode.
-
C.
closingSpokenWordBy
chosen
Indicates that an entity serves as the speaker or performer delivering the closing spoken word segment of an event or work.
-
D.
closingEmphasis
Indicates that one entity concludes or reinforces another entity’s point, action, or message with particular stress or importance.
-
E.
closingStimulus
Indicates that one entity serves as the stimulus or trigger that causes another entity to close or become closed.
- 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd650ad0f88190844bfcb46b3071c2 |
completed | March 20, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69bd6225c9488190afee5bb3619d0365 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:20 p.m.