Triple
T6335026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rainier Fog |
E142469
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Maybe
"Maybe" is a song by American rock band Alice in Chains from their album "Rainier Fog."
|
E586007
|
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: Maybe | Statement: [Rainier Fog, hasPart, Maybe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maybe Context triple: [Rainier Fog, hasPart, Maybe]
-
A.
Maybe
"Maybe" is a popular song from the Broadway musical "Annie," known for its hopeful yet wistful reflection on the title character's longing for her parents.
-
B.
M-Maybe
M-Maybe is a famous 1965 pop art painting by Roy Lichtenstein that depicts a comic book-style blonde woman in a moment of suspense, exemplifying his signature use of Ben-Day dots and bold outlines.
-
C.
Black Maybe
"Black Maybe" is a soulful, introspective hip-hop track by Common that explores themes of Black identity, struggle, and resilience.
-
D.
Maybe This Time
"Maybe This Time" is a poignant torch song best known from the musical Cabaret, where it expresses the character Sally Bowles’s fragile hope for lasting love.
-
E.
Anyway
"Anyway" is a gentle, introspective ballad by Paul McCartney from his 2005 album *Chaos and Creation in the Backyard*.
- 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: Maybe Triple: [Rainier Fog, hasPart, Maybe]
Generated description
"Maybe" is a song by American rock band Alice in Chains from their album "Rainier Fog."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maybe Target entity description: "Maybe" is a song by American rock band Alice in Chains from their album "Rainier Fog."
-
A.
Maybe
"Maybe" is a popular song from the Broadway musical "Annie," known for its hopeful yet wistful reflection on the title character's longing for her parents.
-
B.
M-Maybe
M-Maybe is a famous 1965 pop art painting by Roy Lichtenstein that depicts a comic book-style blonde woman in a moment of suspense, exemplifying his signature use of Ben-Day dots and bold outlines.
-
C.
Black Maybe
"Black Maybe" is a soulful, introspective hip-hop track by Common that explores themes of Black identity, struggle, and resilience.
-
D.
Maybe This Time
"Maybe This Time" is a poignant torch song best known from the musical Cabaret, where it expresses the character Sally Bowles’s fragile hope for lasting love.
-
E.
Anyway
"Anyway" is a gentle, introspective ballad by Paul McCartney from his 2005 album *Chaos and Creation in the Backyard*.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06549084c8190b73fd94c9e0cb302 |
completed | March 22, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6042ab22c8190a7486049f45a546b |
completed | March 27, 2026, 4:14 a.m. |
| NEDg | Description generation | batch_69c6056435b481908a63a880b7bcd489 |
completed | March 27, 2026, 4:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c605f2369c819080fd52282b20437e |
completed | March 27, 2026, 4:22 a.m. |
Created at: March 22, 2026, 4:30 p.m.