Triple
T20299390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MS 3501 |
E505437
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | The Descent into Hell |
—
|
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: The Descent into Hell | Statement: [MS 3501, contains, The Descent into Hell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Descent into Hell Context triple: [MS 3501, contains, The Descent into Hell]
-
A.
Harrowing of Hell
chosen
The Harrowing of Hell is a Christian theological and artistic motif depicting Christ’s descent to the realm of the dead to liberate the righteous who had died before his resurrection.
-
B.
Inferno
Inferno is a distributed operating system developed at Bell Labs, known for its use of the Limbo programming language and its focus on portable, networked computing.
-
C.
Inferno
"Inferno" is a 1980s action thriller film best known for its desert survival and revenge storyline, directed by John G. Avildsen.
-
D.
Inferno
Inferno is a major expansion for the sci-fi MMORPG EVE Online that focused on revamping warfare mechanics, including factional warfare and mercenary contracts.
-
E.
Inferno
Inferno is the passionate and coordinated Arizona State University student section known for energizing home football games during the Arizona–Arizona State rivalry and other matchups.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6770b9484819090ffcb339f2a435a |
completed | April 20, 2026, 6:57 p.m. |
Created at: April 16, 2026, 11:16 a.m.