Triple
T10484694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rob Cowan |
E247264
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | The Boy Next Door |
E855743
|
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 Boy Next Door | Statement: [Rob Cowan, workedOn, The Boy Next Door]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Boy Next Door Context triple: [Rob Cowan, workedOn, The Boy Next Door]
-
A.
The Boy Next Door
chosen
The Boy Next Door is a 2015 psychological thriller film starring Jennifer Lopez as a high school teacher who becomes dangerously entangled with a younger neighbor.
-
B.
The Boy Next Door
"The Boy Next Door" is a romantic ballad from the 1944 MGM musical film *Meet Me in St. Louis*, famously performed by Judy Garland.
-
C.
The Girl Next Door
The Girl Next Door is a 2004 romantic comedy film about a high school senior who falls for his new neighbor, only to discover she is a former porn star, starring Emile Hirsch and Elisha Cuthbert.
-
D.
Girl Next Door
"Girl Next Door" is a track featured on the hip-hop album "King of Stage" by rapper and producer Dana Dane.
-
E.
Dear Boy
"Dear Boy" is a song by the Indian musician Ram.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50968a0bc8190a18ba24eb37431d9 |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc7fc0cc8190922b7b783d37f542 |
completed | April 10, 2026, 11:18 a.m. |
Created at: April 6, 2026, 12:22 p.m.