Triple
T16429983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EBM |
E399046
|
entity |
| Predicate | notableLabel |
P22
|
FINISHED |
| Object |
Antler-Subway
Antler-Subway is an EBM (Electronic Body Music) act known for its dark, industrial-influenced electronic sound.
|
E1213409
|
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: Antler-Subway | Statement: [EBM, notableLabel, Antler-Subway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antler-Subway Context triple: [EBM, notableLabel, Antler-Subway]
-
A.
Eidan Subway
Eidan Subway was the former name of Tokyo’s main rapid transit system, operated by the Teito Rapid Transit Authority before it became Tokyo Metro.
-
B.
Hell's Gate Airtram
Hell's Gate Airtram is a scenic aerial tramway in British Columbia that carries visitors over the turbulent Fraser River through the dramatic Fraser Canyon.
-
C.
Downtown Train
"Downtown Train" is a popular rock ballad best known from Rod Stewart’s hit 1989 cover of Tom Waits’ original song.
-
D.
Upper Station
Upper Station is the hilltop terminal of Pittsburgh’s historic Duquesne Incline funicular, serving as its upper boarding and observation point.
-
E.
Länsimetro
Länsimetro is a major westward extension of the Helsinki Metro that connects central Helsinki with the neighboring city of Espoo through a series of new underground stations.
- 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: Antler-Subway Triple: [EBM, notableLabel, Antler-Subway]
Generated description
Antler-Subway is an EBM (Electronic Body Music) act known for its dark, industrial-influenced electronic sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Antler-Subway Target entity description: Antler-Subway is an EBM (Electronic Body Music) act known for its dark, industrial-influenced electronic sound.
-
A.
Eidan Subway
Eidan Subway was the former name of Tokyo’s main rapid transit system, operated by the Teito Rapid Transit Authority before it became Tokyo Metro.
-
B.
Hell's Gate Airtram
Hell's Gate Airtram is a scenic aerial tramway in British Columbia that carries visitors over the turbulent Fraser River through the dramatic Fraser Canyon.
-
C.
Downtown Train
"Downtown Train" is a popular rock ballad best known from Rod Stewart’s hit 1989 cover of Tom Waits’ original song.
-
D.
Upper Station
Upper Station is the hilltop terminal of Pittsburgh’s historic Duquesne Incline funicular, serving as its upper boarding and observation point.
-
E.
Länsimetro
Länsimetro is a major westward extension of the Helsinki Metro that connects central Helsinki with the neighboring city of Espoo through a series of new underground stations.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328fe0f488190ac34aa677c980a20 |
completed | April 18, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00458331748190a4bd1c5d2d466e6d |
completed | May 10, 2026, 8:44 a.m. |
| NEDg | Description generation | batch_6a0046ce23948190a2207e5e27493dac |
completed | May 10, 2026, 8:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a004767d1c88190814e83f09383e874 |
completed | May 10, 2026, 8:52 a.m. |
Created at: April 10, 2026, 5:10 a.m.