Triple
T12960966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Ladislaw |
E310140
|
entity |
| Predicate | firstAppearsInChapterOf |
P42626
|
FINISHED |
| Object | Middlemarch, early chapters set in Rome |
—
|
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: Middlemarch, early chapters set in Rome | Statement: [Will Ladislaw, firstAppearsInChapterOf, Middlemarch, early chapters set in Rome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAppearsInChapterOf Context triple: [Will Ladislaw, firstAppearsInChapterOf, Middlemarch, early chapters set in Rome]
-
A.
firstAppearanceChapter
chosen
Indicates the chapter in which an entity (such as a character, item, or concept) is first introduced or appears in a work.
-
B.
foundInChapter
Indicates that something (such as a concept, section, or element) is contained within or occurs in a specific chapter.
-
C.
appearsInBookNumber
Indicates that an entity is featured or mentioned in a specific book identified by its number within a series or collection.
-
D.
firstAppearsAs
Indicates that an entity is introduced or shown in a particular form, role, or identity for the first time in a given context.
-
E.
firstAppearanceFor
Indicates that an entity marks the initial occurrence or debut of another entity within a given context or medium.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97dba57988190b786ffed55687a72 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:44 p.m.