Triple
T33217297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angerthas Erebor |
E850320
|
entity |
| Predicate | hasCanonicalDescriptionSource |
P5454
|
FINISHED |
| Object | The Lord of the Rings Appendix E |
—
|
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 Lord of the Rings Appendix E | Statement: [Angerthas Erebor, hasCanonicalDescriptionSource, The Lord of the Rings Appendix E]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanonicalDescriptionSource Context triple: [Angerthas Erebor, hasCanonicalDescriptionSource, The Lord of the Rings Appendix E]
-
A.
hasCanonicalReference
chosen
Indicates that one entity serves as the authoritative or standard reference source for another entity.
-
B.
hasCanonicalLanguageSource
Indicates that something is derived from, based on, or defined according to an officially recognized or standard language source.
-
C.
hasCanonicalRepresentation
Indicates that one entity is the standard or authoritative form in which another entity is represented.
-
D.
hasCanonicalLocation
Indicates that an entity is associated with its primary, standard, or officially recognized location.
-
E.
hasCanonicalSection
Indicates that something is associated with its officially recognized or standard section within a larger structure or work.
- 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_69f3496083dc8190b229bb6932dc548b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff17be6ad48190963206f2619b1b28 |
completed | May 9, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69ff1724ba24819092c928fcbcb286ec |
completed | May 9, 2026, 11:14 a.m. |
Created at: May 1, 2026, 1:30 a.m.