Triple
T3663999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hitchhiker's Guide to the Galaxy (TV series) |
E77716
|
entity |
| Predicate | hasTitleSequenceStyle |
P18055
|
FINISHED |
| Object | animated guidebook graphics |
—
|
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: animated guidebook graphics | Statement: [The Hitchhiker's Guide to the Galaxy (TV series), hasTitleSequenceStyle, animated guidebook graphics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleSequenceStyle Context triple: [The Hitchhiker's Guide to the Galaxy (TV series), hasTitleSequenceStyle, animated guidebook graphics]
-
A.
includesTitleStyle
chosen
Indicates that one entity incorporates or specifies a particular style or formatting for a title associated with it.
-
B.
hasTitleType
Indicates that an entity holds a specific kind or category of title (such as job title, honorific, or formal designation).
-
C.
hasOrdinaryTitle
Indicates that an entity holds a standard, non-noble or non-honorific title associated with its role or position.
-
D.
isTitleFor
Indicates that one entity serves as the official title or name designation for another entity.
-
E.
hasTitleSubject
Indicates that an entity has a specific subject or topic as the focus of its title.
- 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3fe5eb08190ab15044acf9ac8a9 |
completed | March 8, 2026, 6:46 p.m. |
| PD | Predicate disambiguation | batch_69adb847e9d881909dad2ffd0f3b6c15 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:25 p.m.