Triple
T22768426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tattoo (2002 film) |
E563187
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Tattoo |
—
|
NE NERFINISHED |
How this triple was built (2 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: [Tattoo (2002 film), title, Tattoo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tattoo Context triple: [Tattoo (2002 film), title, Tattoo]
-
A.
Tattoo
"Tattoo" is a popular Afrobeats song by Nigerian singer Fireboy DML, known for its smooth, romantic vibe and melodic production.
-
B.
Tattoo
chosen
"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 mid-2000s pop-R&B single by American singer Jordin Sparks that became one of her breakout hits following her American Idol win.
-
E.
Tattoo
"Tattoo" is a song by the English rock band The Who, featured on their 1967 concept album *The Who Sell Out*.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b59c9cc8190a6edd68f3209a672 |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:27 p.m.