Triple
T22976554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panem |
E571335
|
entity |
| Predicate | hasHistoricalEvent |
P2107
|
FINISHED |
| Object | the Dark Days |
—
|
NE NERFINISHED |
How this triple was built (3 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 Dark Days | Statement: [Panem, hasHistoricalEvent, the Dark Days]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: the Dark Days Context triple: [Panem, hasHistoricalEvent, the Dark Days]
-
A.
Dark Days
Dark Days is a 19th-century novel by Hugh Conway, best known as a follow-up to his popular sensation fiction that blends mystery, romance, and melodrama.
-
B.
Darker Days
Darker Days is an early folk-influenced studio album by Canadian singer-songwriter Andy Shauf, showcasing his introspective lyrics and mellow, acoustic sound.
-
C.
The Great Darkened Days
The Great Darkened Days is a Canadian drama film set during World War II that blends surrealism and historical allegory to explore identity, trauma, and the impact of war.
-
D.
After the Dark
After the Dark is a 2013 philosophical science-fiction thriller film that explores moral dilemmas through a series of apocalyptic thought experiments conducted by a high school philosophy class.
-
E.
In the Dark
"In the Dark" is a critically acclaimed documentary film by Sergey Dvortsevoy that intimately portrays the daily life and quiet struggles of a blind man living in post-Soviet Russia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: the Dark Days Target entity description: The Dark Days were a brutal civil war in the fictional nation of Panem, during which the districts rebelled against the Capitol and were violently suppressed, leading to the creation of the Hunger Games as punishment and control.
-
A.
Dark Days
Dark Days is a 19th-century novel by Hugh Conway, best known as a follow-up to his popular sensation fiction that blends mystery, romance, and melodrama.
-
B.
Darker Days
Darker Days is an early folk-influenced studio album by Canadian singer-songwriter Andy Shauf, showcasing his introspective lyrics and mellow, acoustic sound.
-
C.
The Great Darkened Days
The Great Darkened Days is a Canadian drama film set during World War II that blends surrealism and historical allegory to explore identity, trauma, and the impact of war.
-
D.
After the Dark
After the Dark is a 2013 philosophical science-fiction thriller film that explores moral dilemmas through a series of apocalyptic thought experiments conducted by a high school philosophy class.
-
E.
In the Dark
"In the Dark" is a critically acclaimed documentary film by Sergey Dvortsevoy that intimately portrays the daily life and quiet struggles of a blind man living in post-Soviet Russia.
- F. None of above. chosen
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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182369b548190a6630655a6e0bb39 |
completed | April 29, 2026, 3:59 a.m. |
Created at: April 17, 2026, 3:48 p.m.