Triple
T11124832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bluebird |
E263107
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Lonely Street
"Lonely Street" is a song by the American country music group Bluebird.
|
E906556
|
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: Lonely Street | Statement: [Bluebird, hasTrack, Lonely Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lonely Street Context triple: [Bluebird, hasTrack, Lonely Street]
-
A.
Lonely Town
"Lonely Town" is a poignant ballad from the 1944 Broadway musical *On the Town*, known for its expressive melody and themes of urban isolation.
-
B.
Lonely Town
"Lonely Town" is a song by American singer-songwriter Matt Morris, known for its introspective lyrics and soulful pop style.
-
C.
A Lonely Night
"A Lonely Night" is a synth-driven, 1980s-influenced R&B/pop track by The Weeknd from his album *Starboy*, known for its danceable groove and themes of emotional detachment in relationships.
-
D.
Down on the Street
"Down on the Street" is a raw, hard-driving proto-punk song by The Stooges, known for its gritty energy and influential role in shaping punk rock.
-
E.
One Lonely Night
One Lonely Night is a hardboiled crime novel by Mickey Spillane featuring his tough private investigator Mike Hammer in a dark, violent postwar mystery.
- 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: Lonely Street Triple: [Bluebird, hasTrack, Lonely Street]
Generated description
"Lonely Street" is a song by the American country music group Bluebird.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lonely Street Target entity description: "Lonely Street" is a song by the American country music group Bluebird.
-
A.
Lonely Town
"Lonely Town" is a poignant ballad from the 1944 Broadway musical *On the Town*, known for its expressive melody and themes of urban isolation.
-
B.
Lonely Town
"Lonely Town" is a song by American singer-songwriter Matt Morris, known for its introspective lyrics and soulful pop style.
-
C.
A Lonely Night
"A Lonely Night" is a synth-driven, 1980s-influenced R&B/pop track by The Weeknd from his album *Starboy*, known for its danceable groove and themes of emotional detachment in relationships.
-
D.
Down on the Street
"Down on the Street" is a raw, hard-driving proto-punk song by The Stooges, known for its gritty energy and influential role in shaping punk rock.
-
E.
One Lonely Night
One Lonely Night is a hardboiled crime novel by Mickey Spillane featuring his tough private investigator Mike Hammer in a dark, violent postwar mystery.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7e82e933481908550499cf9dd6531 |
completed | April 9, 2026, 5:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d89378c8190acc7afd1ecdbfbac |
completed | April 19, 2026, 1:19 a.m. |
| NEDg | Description generation | batch_69e43749ffe881909c2bfa1210157c6d |
completed | April 19, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e43a46c7a88190bf4fef4a82d008a5 |
completed | April 19, 2026, 2:13 a.m. |
Created at: April 8, 2026, 9:28 p.m.