Triple
T23566310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Master Humphrey's Clock |
E579378
|
entity |
| Predicate | originallySerialized |
P153178
|
FINISHED |
| Object | The Old Curiosity Shop |
—
|
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: The Old Curiosity Shop | Statement: [Master Humphrey's Clock, originallySerialized, The Old Curiosity Shop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallySerialized Context triple: [Master Humphrey's Clock, originallySerialized, The Old Curiosity Shop]
-
A.
originalSerialization
Indicates that one entity is the initial or source serialized form from which another serialized representation is derived.
-
B.
serializedIn
Indicates that something is published or presented in sequential installments within a larger medium or series.
-
C.
primarySerialization
Indicates that one representation or format of an entity is designated as its main or default form for storage, transmission, or processing.
-
D.
serialized
Indicates that one entity has been converted into a sequential, storable or transmittable data format representing its structure or state.
-
E.
originalSerializationMedium
Indicates the medium or format in which something was first serialized or originally published in installments.
- F. None of above. chosen
Provenance (4 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_69e245fe24588190888f3aec8407d8e3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1af6d3dcc8190bb127632e101a053 |
completed | April 29, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
| PDg | Predicate description generation | batch_69f12760784c8190aaeff002ef31febe |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 17, 2026, 6:35 p.m.