Triple
T23011288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Squirrel Nut Zippers |
E572910
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Hell |
E68979
|
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: Hell | Statement: [Squirrel Nut Zippers, notableSong, Hell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hell Context triple: [Squirrel Nut Zippers, notableSong, Hell]
-
A.
Hell
Hell is a small village and railway station in Stjørdal, Trøndelag, Norway, known for its unusual name and as a stop on regional train services.
-
B.
Hell
chosen
Hell is a supernatural underworld realm commonly depicted in religion and fiction as a place of torment, demons, and the damned.
-
C.
Gehennas
Gehennas is a fire-wielding demon boss in World of Warcraft’s Molten Core raid, known for his deadly curses and area-of-effect attacks.
-
D.
Sheol
Sheol is the ancient Hebrew concept of the shadowy underworld or abode of the dead, where all souls go after death.
-
E.
Purgatory
Purgatory is a one-act play by W.B. Yeats that explores themes of guilt, inheritance, and the haunting power of the past within a stark, symbolic family drama.
- 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1835b0cb881908d3d2dd40cffcbc2 |
completed | April 29, 2026, 4:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bf2a65a10819087b5954853a95c65 |
completed | May 19, 2026, 5:18 a.m. |
Created at: April 17, 2026, 3:51 p.m.