Triple
T17166734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pantera |
E416628
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | I Am the Night |
E613150
|
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: I Am the Night | Statement: [Pantera, album, I Am the Night]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Am the Night Context triple: [Pantera, album, I Am the Night]
-
A.
I Am the Night
chosen
I Am the Night is a 2019 true-crime drama miniseries inspired by the Black Dahlia murder, in which Connie Nielsen plays a key supporting role.
-
B.
The Night
The Night is the 92nd chapter of the Qur’an, a Meccan surah that contrasts the paths of righteousness and wickedness and emphasizes the consequences of human choices.
-
C.
The Night
The Night is a haunting Expressionist painting by Max Beckmann that depicts the brutal terror and psychological trauma of a violent home invasion.
-
D.
The Night
"The Night" is a song by American heavy metal band Disturbed, known for its dark atmosphere, heavy riffs, and exploration of themes related to fear and the unknown.
-
E.
The Night
The Night is an 18th-century painting by French artist Joseph Vernet, renowned for its dramatic nocturnal seascape and masterful use of light and atmosphere.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f915622c8190a6dff0baf0288a62 |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fc83984819098c98b75cf021e3a |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:37 a.m.