Triple
T21928465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Last Man on Earth |
E541502
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Homeless
"Homeless" is a song featured on the television series *The Last Man on Earth*.
|
E1509004
|
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: Homeless | Statement: [Last Man on Earth, hasTrack, Homeless]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Homeless Context triple: [Last Man on Earth, hasTrack, Homeless]
-
A.
The Homeless
"The Homeless" is a track likely addressing themes of poverty and social marginalization, blending educational commentary with entertainment.
-
B.
Ludzie bezdomni
"Ludzie bezdomni" is a seminal Polish novel by Stefan Żeromski, emblematic of the Young Poland movement and known for its social critique and psychological depth.
-
C.
No Shelter
"No Shelter" is a politically charged song by American rock band Rage Against the Machine, known for its critique of consumerism and media culture.
-
D.
Skid Row
Skid Row is an American heavy metal band, best known for their late-1980s and early-1990s success with hits like "18 and Life" and "Youth Gone Wild."
-
E.
Skid Row
Skid Row is a densely populated homeless district in downtown Los Angeles known for its large unhoused population, poverty, and social service agencies.
- 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: Homeless Triple: [Last Man on Earth, hasTrack, Homeless]
Generated description
"Homeless" is a song featured on the television series *The Last Man on Earth*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Homeless Target entity description: "Homeless" is a song featured on the television series *The Last Man on Earth*.
-
A.
The Homeless
"The Homeless" is a track likely addressing themes of poverty and social marginalization, blending educational commentary with entertainment.
-
B.
Ludzie bezdomni
"Ludzie bezdomni" is a seminal Polish novel by Stefan Żeromski, emblematic of the Young Poland movement and known for its social critique and psychological depth.
-
C.
No Shelter
"No Shelter" is a politically charged song by American rock band Rage Against the Machine, known for its critique of consumerism and media culture.
-
D.
Skid Row
Skid Row is an American heavy metal band, best known for their late-1980s and early-1990s success with hits like "18 and Life" and "Youth Gone Wild."
-
E.
Skid Row
Skid Row is a densely populated homeless district in downtown Los Angeles known for its large unhoused population, poverty, and social service agencies.
- 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123fcd08481909fecbb2cf0405933 |
completed | April 28, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a60e3ad4c8190a874b2659388556a |
completed | May 18, 2026, 12:44 a.m. |
| NEDg | Description generation | batch_6a0a618e55c4819099ab070410e4f1a9 |
completed | May 18, 2026, 12:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a621fe47081908575a17b9895395a |
completed | May 18, 2026, 12:49 a.m. |
Created at: April 16, 2026, 7:46 p.m.