Triple
T25650315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Colonel’s Lady (The Vise) |
E643080
|
entity |
| Predicate | hasClosingHostSegment |
P20927
|
FINISHED |
| Object | Alfred Hitchcock epilogue |
—
|
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: Alfred Hitchcock epilogue | Statement: [The Colonel’s Lady (The Vise), hasClosingHostSegment, Alfred Hitchcock epilogue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClosingHostSegment Context triple: [The Colonel’s Lady (The Vise), hasClosingHostSegment, Alfred Hitchcock epilogue]
-
A.
hasClosingSectionCharacter
Indicates that something includes a specific character used to mark the end of a section.
-
B.
hasLocalSegments
Indicates that an entity is composed of or associated with smaller, distinct segments that exist within a specific local context or region.
-
C.
hasSegmentOn
Indicates that one entity includes or occupies a specific segment or portion on another entity (such as a line, path, or sequence).
-
D.
hasEnding
chosen
Indicates that one entity concludes with, or terminates in, another entity (such as a specific substring, segment, or final component).
-
E.
hasSegmentWith
Indicates that an entity contains or includes at least one segment that satisfies a specified condition or matches a given segment.
- 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_69e77e7d8a848190a98d0162325fd780 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6430a93a48190854ce71df680b2fa |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 21, 2026, 6:21 p.m.