Triple
T12186559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kili |
E290348
|
entity |
| Predicate | companions |
P22642
|
FINISHED |
| Object | Nori |
E780191
|
NE 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: Nori | Statement: [Kili, companions, Nori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nori Context triple: [Kili, companions, Nori]
-
A.
Nori
chosen
Nori is a Dwarf of Durin's Folk and a member of Thorin Oakenshield's company who survived the Quest of Erebor in J.R.R. Tolkien's legendarium.
-
B.
Nori
Nori is a given name, often used as a short or affectionate form of longer names such as Nora.
-
C.
Niiname-sai
Niiname-sai is a traditional Shinto harvest festival in Japan during which the emperor offers newly harvested rice to the deities and partakes of it in a solemn thanksgiving rite.
-
D.
Masago
Masago is the wife of the murdered samurai in Ryūnosuke Akutagawa’s short story "In a Grove," whose conflicting testimony is central to the tale’s exploration of truth and perspective.
-
E.
Tocho
Tocho is the common nickname for the Tokyo Metropolitan Government Building, a prominent skyscraper complex in Shinjuku that houses Tokyo’s metropolitan administration and offers popular observation decks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d916012c2c819085824332ad60059e |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6b0a84c8190ae593e368c13b5a5 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:50 p.m.