Triple
T18646499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Who Sell Out |
E455815
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Tattoo
"Tattoo" is a song by the English rock band The Who, featured on their 1967 concept album *The Who Sell Out*.
|
E1336215
|
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: Tattoo | Statement: [The Who Sell Out, hasPart, Tattoo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tattoo Context triple: [The Who Sell Out, hasPart, Tattoo]
-
A.
Tattoo
"Tattoo" is a 2002 German crime thriller film directed by Robert Schwentke, centered on a dark investigation involving a serial killer and tattooed skin.
-
B.
Tattoo
Tattoo is the diminutive, sharply dressed assistant and sidekick on the television series "Fantasy Island," known for his iconic cry of "The plane! The plane!"
-
C.
Tattoo
"Tattoo" is a popular Afrobeats song by Nigerian singer Fireboy DML, known for its smooth, romantic vibe and melodic production.
-
D.
Tattoo
"Tattoo" is a mid-2000s pop-R&B single by American singer Jordin Sparks that became one of her breakout hits following her American Idol win.
-
E.
Basel Tattoo
Basel Tattoo is a major annual military music and marching show in Basel, Switzerland, featuring international military bands, precision drill teams, and ceremonial performances.
- 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: Tattoo Triple: [The Who Sell Out, hasPart, Tattoo]
Generated description
"Tattoo" is a song by the English rock band The Who, featured on their 1967 concept album *The Who Sell Out*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tattoo Target entity description: "Tattoo" is a song by the English rock band The Who, featured on their 1967 concept album *The Who Sell Out*.
-
A.
Tattoo
"Tattoo" is a mid-2000s pop-R&B single by American singer Jordin Sparks that became one of her breakout hits following her American Idol win.
-
B.
Tattoo
"Tattoo" is a 2002 German crime thriller film directed by Robert Schwentke, centered on a dark investigation involving a serial killer and tattooed skin.
-
C.
Tattoo
Tattoo is the diminutive, sharply dressed assistant and sidekick on the television series "Fantasy Island," known for his iconic cry of "The plane! The plane!"
-
D.
Tattoo
"Tattoo" is a popular Afrobeats song by Nigerian singer Fireboy DML, known for its smooth, romantic vibe and melodic production.
-
E.
Basel Tattoo
Basel Tattoo is a major annual military music and marching show in Basel, Switzerland, featuring international military bands, precision drill teams, and ceremonial performances.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5500e248481909a8d777a6a9f17e7 |
completed | April 19, 2026, 9:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05171a1f508190b1ea8178717dbd96 |
completed | May 14, 2026, 12:28 a.m. |
| NEDg | Description generation | batch_6a0518aa2dd88190a741dcedcf8fc37a |
completed | May 14, 2026, 12:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05190b081481909af7b7aec70d9646 |
completed | May 14, 2026, 12:36 a.m. |
Created at: April 10, 2026, 11:47 a.m.