Triple
T3130550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Day Women Took Over |
E65399
|
entity |
| Predicate | featuresSpokenWordElements |
P16928
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Day Women Took Over, featuresSpokenWordElements, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresSpokenWordElements Context triple: [The Day Women Took Over, featuresSpokenWordElements, true]
-
A.
includesSpokenWordAppearanceBy
Indicates that something (such as a work, recording, or event) contains an instance where a person or entity appears through spoken words.
-
B.
speechContent
Indicates that one entity expresses, conveys, or contains the spoken or written content associated with another entity’s act of speaking or communication.
-
C.
isSpokenAlong
Indicates that something (typically a language or dialect) is used or spoken in the regions or areas that follow a particular path, boundary, or route.
-
D.
speakerFeatures
Indicates that certain characteristics, attributes, or properties are associated with a speaker in a given context.
-
E.
literaryFeature
chosen
Indicates a relationship where something possesses or exhibits a characteristic, device, or stylistic element used in literature.
- 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_69ad8581c25c8190b0d85ba9b9baa531 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada54b0e688190b691771f17f4c721 |
completed | March 8, 2026, 4:35 p.m. |
| PD | Predicate disambiguation | batch_69ad9df62e548190b053e1478deed467 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:04 p.m.