Triple
T36839270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | October Road |
E910357
|
entity |
| Predicate | hasEndingSpecial |
P88477
|
FINISHED |
| Object | unaired series finale produced as a DVD special feature |
—
|
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: unaired series finale produced as a DVD special feature | Statement: [October Road, hasEndingSpecial, unaired series finale produced as a DVD special feature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEndingSpecial Context triple: [October Road, hasEndingSpecial, unaired series finale produced as a DVD special feature]
-
A.
hasEnding
Indicates that one entity concludes with, or terminates in, another entity (such as a specific substring, segment, or final component).
-
B.
concludesWithSpecial
chosen
Indicates that an event, process, or sequence ends with a distinctive or exceptional element, condition, or outcome.
-
C.
hasConditionalEnding
Indicates that one entity concludes or terminates only if a specified condition involving another entity is met.
-
D.
hasTypeOfEnding
Indicates that one entity possesses or exhibits a particular kind or category of ending associated with another entity.
-
E.
hasAmbiguousEnding
Indicates that the event, story, or situation concludes in a way that is open to multiple interpretations or lacks a clear, definitive resolution.
- 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_69f76e7f65a881908651b702da592b6d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fddac4e2f48190a9301d3422658b29 |
completed | May 8, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69fdda06969c8190b5d033964ea2a690 |
completed | May 8, 2026, 12:41 p.m. |
Created at: May 3, 2026, 4:13 p.m.