Triple
T16437817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neighborhoods |
E399220
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | After Midnight |
E655115
|
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: After Midnight | Statement: [Neighborhoods, hasPart, After Midnight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: After Midnight Context triple: [Neighborhoods, hasPart, After Midnight]
-
A.
After Midnight
chosen
"After Midnight" is a blues-rock song written by J.J. Cale that became widely known through Eric Clapton’s 1970 hit cover version.
-
B.
Around Midnight
"Around Midnight" is a 1960 jazz-influenced vocal album by American singer Julie London, featuring sultry, late-night torch songs and standards.
-
C.
Soon After Midnight
"Soon After Midnight" is a song by Bob Dylan, known as a moody, romantic ballad from his 2012 album "Tempest."
-
D.
Taken at Midnight
Taken at Midnight is a stage play that dramatizes the true story of German lawyer Hans Litten’s mother fighting the Nazi regime after her son’s arrest, noted for its powerful central role originated by Penelope Wilton.
-
E.
The Other Side of Midnight
The Other Side of Midnight is a bestselling romantic thriller novel by Sidney Sheldon that intertwines love, betrayal, and revenge across glamorous international settings.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba5a4748190b63ff53bfb5957c7 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0058143cb88190943b951cc8e47a66 |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:10 a.m.