Triple
T14526692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aarne–Thompson–Uther Index |
E340795
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object | Aarne–Thompson Index |
E340795
|
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: Aarne–Thompson Index | Statement: [Aarne–Thompson–Uther Index, predecessor, Aarne–Thompson Index]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aarne–Thompson Index Context triple: [Aarne–Thompson–Uther Index, predecessor, Aarne–Thompson Index]
-
A.
Aarne–Thompson–Uther Index
chosen
The Aarne–Thompson–Uther Index is a comprehensive cataloging system used in folklore studies to classify and compare traditional folktales by recurring narrative types and motifs.
-
B.
Hornbostel–Sachs
Hornbostel–Sachs is a widely used system for classifying musical instruments based on how they produce sound.
-
C.
Leontyeva
Leontyeva is a Russian surname, typically the feminine form of Leontyev, borne by individuals such as Anna Leontyevna Leontyeva.
-
D.
Tanglewood Numbers
Tanglewood Numbers is a 2005 indie rock album by Silver Jews, noted for David Berman’s darkly poetic lyrics and a more full-band, rock-oriented sound.
-
E.
Gribskov
Gribskov is one of Denmark’s largest and oldest forests, known for its diverse woodland landscapes, rich wildlife, and extensive network of walking and cycling trails.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea050781881909ed685d94479bf99 |
completed | April 14, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94acd8288190a91bf09220126e13 |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 10, 2026, 1:22 a.m.