Triple
T30734862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unfriended: Dark Web |
E782523
|
entity |
| Predicate | hasAlternateEndings |
P55743
|
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: [Unfriended: Dark Web, hasAlternateEndings, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlternateEndings Context triple: [Unfriended: Dark Web, hasAlternateEndings, true]
-
A.
alternateEnding
chosen
Indicates that one version of a work provides a different conclusion or final sequence of events compared to the original or primary ending.
-
B.
hasAlternateTimeline
Indicates that an entity exists or occurs in a different possible or parallel timeline relative to another reference timeline.
-
C.
hasAlternateTake
Indicates that one entity is an alternative version or different take of another, typically representing a variant recording, shot, or rendition of the same underlying content.
-
D.
hasUnfinishedEnding
Indicates that an entity concludes in an incomplete, unresolved, or open-ended manner rather than reaching a fully finished state.
-
E.
hasAlternativeEditionTitle
Indicates that an entity has a different or variant title used in another edition of the same work.
- 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_69f224aeb1588190897d395e8ed2acb8 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
Created at: April 29, 2026, 8:37 p.m.