Triple
T13940860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papa Don't Take No Mess |
E335246
|
entity |
| Predicate | partOf |
P40
|
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: [Papa Don't Take No Mess, partOf, Hell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hell Context triple: [Papa Don't Take No Mess, partOf, Hell]
-
A.
Hell
chosen
Hell is a supernatural underworld realm commonly depicted in religion and fiction as a place of torment, demons, and the damned.
-
B.
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.
-
C.
Sheol
Sheol is the ancient Hebrew concept of the shadowy underworld or abode of the dead, where all souls go after death.
-
D.
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.
-
E.
Purgatory
Purgatory is a state or realm in Christian theology where souls undergo purification before entering Heaven.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf6e29881908ddb8efca9a456a3 |
completed | April 14, 2026, 12:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1ca49a881909e77b5a2ae13265f |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:17 p.m.