Triple
T18669618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Largo Entertainment |
E456436
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Judgment Night |
E1254183
|
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: Judgment Night | Statement: [Largo Entertainment, notableWork, Judgment Night]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Judgment Night Context triple: [Largo Entertainment, notableWork, Judgment Night]
-
A.
Judgment Night
chosen
Judgment Night is a 1993 action-thriller film best known for its influential rap-rock fusion soundtrack.
-
B.
Judgment Night
"Judgment Night" is a science fiction work best known as a collection of stories by C. L. Moore, originally issued in book form by specialty genre publisher Gnome Press in the mid-20th century.
-
C.
Judgment Day
"Judgment Day" is a short story by Flannery O’Connor that explores themes of race, identity, and redemption through a Southern Gothic lens.
-
D.
Judgment Day
Judgment Day is the apocalyptic, machine-led nuclear war in the Terminator franchise that marks the rise of Skynet and the near-annihilation of humanity.
-
E.
Judgment Day
"Judgment Day" is a 1935 novel by American writer James T. Farrell, best known as the third book in his influential Studs Lonigan trilogy depicting Irish-American life in early 20th-century Chicago.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e556b0502881909ea05f2746163746 |
completed | April 19, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05172d70348190a6a0ee667ae4c3ba |
completed | May 14, 2026, 12:28 a.m. |
Created at: April 10, 2026, 11:48 a.m.