Triple
T13259605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mel Eslyn |
E315752
|
entity |
| Predicate | producerOf |
P490
|
FINISHED |
| Object | The Overnight |
E486671
|
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 Overnight | Statement: [Mel Eslyn, producerOf, The Overnight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Overnight Context triple: [Mel Eslyn, producerOf, The Overnight]
-
A.
The Overnight
chosen
The Overnight is a 2015 indie comedy film about an awkward, increasingly bizarre couples’ playdate that escalates over the course of one night.
-
B.
Overnight
Overnight is a documentary film chronicling the rapid rise and dramatic fall of aspiring filmmaker Troy Duffy during the making of The Boondock Saints.
-
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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f778088819082b8a596c04bfe02 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716cac5388190a839ec1dbdcdbf82 |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:25 p.m.