Triple
T22123080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gravitas |
E546721
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Neighbors |
E951051
|
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: Neighbors | Statement: [Gravitas, hasPart, Neighbors]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neighbors Context triple: [Gravitas, hasPart, Neighbors]
-
A.
Neighbors
Neighbors is a 2014 comedy film about a young couple with a newborn baby whose peaceful suburban life is disrupted when a rowdy fraternity moves in next door.
-
B.
Neighbors
Neighbors is a 1981 dark comedy film directed by John G. Avildsen, starring John Belushi and Dan Aykroyd as feuding suburban neighbors whose lives spiral into chaos.
-
C.
Neighbors
"Neighbors" is a socially conscious hip-hop track by J. Cole that critiques racial profiling and surveillance in affluent neighborhoods.
-
D.
Neighbors
chosen
Neighbors is a work created by Joe Roberts, likely reflecting his distinctive artistic style and themes.
-
E.
Neighbors
"Neighbors" is a short story by Raymond Carver that explores the unsettling dynamics and hidden desires that emerge when a couple becomes obsessively fascinated with the lives of the people living next door.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1297f3fb48190b6aaca18b40c37ab |
completed | April 28, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a8f21bf1881909efdda72f353b58b |
completed | May 18, 2026, 4:01 a.m. |
Created at: April 16, 2026, 8:31 p.m.