Triple
T36657630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bungo Baggins |
E905035
|
entity |
| Predicate | builtBagEndWith |
P186127
|
FINISHED |
| Object | Belladonna Took |
—
|
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: Belladonna Took | Statement: [Bungo Baggins, builtBagEndWith, Belladonna Took]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: builtBagEndWith Context triple: [Bungo Baggins, builtBagEndWith, Belladonna Took]
-
A.
endOf
Indicates that one entity marks the terminating point or final boundary of another entity, event, or interval.
-
B.
blendsWith
Indicates that one entity can be mixed or combined smoothly with another to form a uniform or harmonious result.
-
C.
endedWith
Indicates that one event, process, or state concluded with or was finalized by another specified event, condition, or outcome.
-
D.
rebuiltEnd
Indicates that one entity has been reconstructed, restored, or rebuilt at the endpoint or conclusion of another entity or process.
-
E.
hasEnding
Indicates that one entity concludes with, or terminates in, another entity (such as a specific substring, segment, or final component).
- 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_69f76e6e3b908190970251b30f76ad71 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c83f5960819089610ed39c839678 |
completed | May 3, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f7c4796ebc819084a0dc08505e5f14 |
completed | May 3, 2026, 9:56 p.m. |
| PDg | Predicate description generation | batch_69f7c776b4088190bef550c869da530d |
completed | May 3, 2026, 10:08 p.m. |
Created at: May 3, 2026, 4:11 p.m.