Triple
T15072498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Desert Star |
E379913
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | The Dark Hours |
E1138060
|
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: The Dark Hours | Statement: [Desert Star, follows, The Dark Hours]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Dark Hours Context triple: [Desert Star, follows, The Dark Hours]
-
A.
The Dark Hours
chosen
The Dark Hours is a crime novel by Michael Connelly featuring LAPD detective Renée Ballard working with retired detective Harry Bosch to solve a New Year’s Eve murder.
-
B.
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.
-
C.
The Darkest Part
"The Darkest Part" is a song by the American electronic music trio Cheat Codes.
-
D.
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.
-
E.
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.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7fa0570819088a97b28173154cd |
completed | April 15, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd2268dc8190882e5a489e0c49c2 |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 3:02 a.m.