Triple
T9058540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crush |
E217063
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
She's a Mystery
"She's a Mystery" is a song by the American rock band Crush, noted for its enigmatic lyrics and emotive rock sound.
|
E774758
|
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: She's a Mystery | Statement: [Crush, hasTrack, She's a Mystery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: She's a Mystery Context triple: [Crush, hasTrack, She's a Mystery]
-
A.
Mystery Girl
"Mystery Girl" is the 1989 posthumous studio album by rock and roll pioneer Roy Orbison, featuring some of his most acclaimed late-career recordings.
-
B.
It’s a Mystery
"It’s a Mystery" is a 1995 rock album by American singer-songwriter Bob Seger, known for its heartland rock sound and reflective lyrics.
-
C.
Mystery of Love
"Mystery of Love" is a 1985 house track by Mr. Fingers (Larry Heard) widely regarded as a foundational and highly influential record in the development of deep house music.
-
D.
Sweet Little Mystery
"Sweet Little Mystery" is a 1987 pop ballad by Scottish band Wet Wet Wet that became one of their early hit singles.
-
E.
I Love a Mystery
I Love a Mystery is a classic American radio adventure series known for its suspenseful, serialized mystery stories and colorful recurring characters.
- 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: She's a Mystery Triple: [Crush, hasTrack, She's a Mystery]
Generated description
"She's a Mystery" is a song by the American rock band Crush, noted for its enigmatic lyrics and emotive rock sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: She's a Mystery Target entity description: "She's a Mystery" is a song by the American rock band Crush, noted for its enigmatic lyrics and emotive rock sound.
-
A.
Mystery Girl
"Mystery Girl" is the 1989 posthumous studio album by rock and roll pioneer Roy Orbison, featuring some of his most acclaimed late-career recordings.
-
B.
It’s a Mystery
"It’s a Mystery" is a 1995 rock album by American singer-songwriter Bob Seger, known for its heartland rock sound and reflective lyrics.
-
C.
Mystery of Love
"Mystery of Love" is a 1985 house track by Mr. Fingers (Larry Heard) widely regarded as a foundational and highly influential record in the development of deep house music.
-
D.
Sweet Little Mystery
"Sweet Little Mystery" is a 1987 pop ballad by Scottish band Wet Wet Wet that became one of their early hit singles.
-
E.
I Love a Mystery
I Love a Mystery is a classic American radio adventure series known for its suspenseful, serialized mystery stories and colorful recurring characters.
- 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7ec924f481908ca2eac98c68a41d |
completed | April 1, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebe40ec08190a1da2aa1c6577723 |
completed | April 3, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69cfee44642c8190af2dbd69a974d455 |
completed | April 3, 2026, 4:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfeec0d43c81909013f5a1dd49e133 |
completed | April 3, 2026, 4:45 p.m. |
Created at: March 30, 2026, 7:10 p.m.