Triple
T16672762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Black Market |
E405144
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Lanterns
"Lanterns" is a track featured on the album *The Black Market* by the American rock band Rise Against.
|
E1226982
|
NE FINISHED |
How this triple was built (4 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: Lanterns | Statement: [The Black Market, hasTrack, Lanterns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lanterns Context triple: [The Black Market, hasTrack, Lanterns]
-
A.
The Lantern
The Lantern is a track by the Rolling Stones from their 1967 psychedelic rock album "Their Satanic Majesties Request."
-
B.
Lanterna
Lanterna is the iconic historic lighthouse of Genoa, Italy, and one of the oldest and tallest lighthouses still in operation in the world.
-
C.
Stone Lanterns
Stone Lanterns are traditional carved stone light fixtures commonly found in Korean Buddhist temples and gardens, serving both decorative and symbolic religious purposes.
-
D.
Chandelier
"Chandelier" is a 2014 pop power ballad by Sia, known for its soaring vocals and themes of addiction and emotional turmoil.
-
E.
Lampione
Lampione is a tiny, uninhabited rocky islet in the Mediterranean Sea, part of Italy’s Pelagie Islands and known for its rich marine life and popular diving spots.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lanterns Triple: [The Black Market, hasTrack, Lanterns]
Generated description
"Lanterns" is a track featured on the album *The Black Market* by the American rock band Rise Against.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lanterns Target entity description: "Lanterns" is a track featured on the album *The Black Market* by the American rock band Rise Against.
-
A.
The Lantern
The Lantern is a track by the Rolling Stones from their 1967 psychedelic rock album "Their Satanic Majesties Request."
-
B.
Lanterna
Lanterna is the iconic historic lighthouse of Genoa, Italy, and one of the oldest and tallest lighthouses still in operation in the world.
-
C.
Stone Lanterns
Stone Lanterns are traditional carved stone light fixtures commonly found in Korean Buddhist temples and gardens, serving both decorative and symbolic religious purposes.
-
D.
Chandelier
"Chandelier" is a 2014 pop power ballad by Sia, known for its soaring vocals and themes of addiction and emotional turmoil.
-
E.
Lampione
Lampione is a tiny, uninhabited rocky islet in the Mediterranean Sea, part of Italy’s Pelagie Islands and known for its rich marine life and popular diving spots.
- F. None of above. chosen
Provenance (5 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ca276848190b7562d7cb88d21e0 |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3916508190bd5edd91310ddb5a |
completed | May 10, 2026, 1:38 p.m. |
| NEDg | Description generation | batch_6a008b001c988190b0ddec3be0ed6fd0 |
completed | May 10, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008b9a8b6481909df37edcecdd292c |
completed | May 10, 2026, 1:43 p.m. |
Created at: April 10, 2026, 5:19 a.m.