Triple
T35118346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Father |
E1014102
|
entity |
| Predicate | inWorldText |
P182543
|
FINISHED |
| Object | The Seven-Pointed Star |
—
|
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 Seven-Pointed Star | Statement: [the Father, inWorldText, The Seven-Pointed Star]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inWorldText Context triple: [the Father, inWorldText, The Seven-Pointed Star]
-
A.
textUsedIn
Indicates that a particular piece of text is employed or referenced within another resource, context, or artifact.
-
B.
authenticTextIn
Indicates that a given text is the authoritative or original version of a work within a specified context, source, or collection.
-
C.
languageText
Indicates that a piece of text is expressed in, or associated with, a particular language.
-
D.
oneOfWorlds
Indicates that an entity is a member of, or belongs to, a specified set or collection of possible worlds.
-
E.
languageWithinFiction
Indicates that a language is used or exists within the context of a fictional work or fictional universe.
- 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_69f76dd8b6948190aaa32b081816bd94 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78dbf72648190a4971a558e9d1889 |
completed | May 3, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
| PDg | Predicate description generation | batch_69f78ce43094819093857fc99f269afe |
completed | May 3, 2026, 5:59 p.m. |
Created at: May 3, 2026, 4:01 p.m.