Triple
T37721714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Haunted Bookshop |
E939600
|
entity |
| Predicate | hasLiteraryPredecessor |
P62381
|
FINISHED |
| Object | Parnassus on Wheels |
—
|
NE NERFINISHED |
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: Parnassus on Wheels | Statement: [The Haunted Bookshop, hasLiteraryPredecessor, Parnassus on Wheels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLiteraryPredecessor Context triple: [The Haunted Bookshop, hasLiteraryPredecessor, Parnassus on Wheels]
-
A.
literaryPredecessor
chosen
Indicates that one work of literature precedes and influences another in a historically or artistically significant way.
-
B.
hasLiteraryConnection
Indicates a relationship in which one entity is connected to another through a literary link, such as authorship, reference, influence, adaptation, or shared appearance in written works.
-
C.
hasLiteraryBearer
Indicates that something (such as a name, title, or concept) is carried or borne within a literary work or text.
-
D.
hasEarliestKnownLiteraryVersion
Indicates that one entity is the earliest known literary version or attested written form of another entity (such as a story, motif, or tradition).
-
E.
hasLiteraryAttribute
Indicates that an entity possesses a specific literary quality, feature, or characteristic.
- 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_69f76edc208c8190bc8b9683f75e1024 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff1d85441c8190931e758685a269f7 |
completed | May 9, 2026, 11:41 a.m. |
| PD | Predicate disambiguation | batch_69ff1d186cc48190b315c61e23de6551 |
completed | May 9, 2026, 11:40 a.m. |
Created at: May 3, 2026, 4:18 p.m.