Triple
T21734548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Short Dog's in the House |
E536487
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | In the Trunk |
—
|
NE NERFINISHED |
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: In the Trunk | Statement: [Short Dog's in the House, track, In the Trunk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: In the Trunk Context triple: [Short Dog's in the House, track, In the Trunk]
-
A.
In the Trunk
chosen
"In the Trunk" is a hip hop track by Chamillionaire featured on his debut studio album "The Sound of Revenge."
-
B.
Trunk Music
Trunk Music is a crime novel by Michael Connelly featuring LAPD detective Harry Bosch investigating a murder linked to Hollywood and Las Vegas.
-
C.
The Folding Up
The Folding Up is the English translation of the name of Surah At-Takwir, a chapter of the Qur’an that vividly describes the cosmic upheavals of the Day of Judgment.
-
D.
Trunk Line
The Trunk Line is one of Norway’s oldest and most important railway lines, connecting Oslo with surrounding regions and serving key towns such as Jessheim.
-
E.
The Compartment
The Compartment is a short story by Raymond Carver, known for its minimalist style and exploration of strained personal relationships, collected in his volume "Where I'm Calling From."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd0b0da0819098ef03360eea6a0d |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 16, 2026, 6:48 p.m.