Triple
T12005261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tattoo You |
E285763
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Hang Fire |
E960180
|
NE FINISHED |
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: Hang Fire | Statement: [Tattoo You, notableSingle, Hang Fire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hang Fire Context triple: [Tattoo You, notableSingle, Hang Fire]
-
A.
Hang Fire
chosen
"Hang Fire" is a song by the Rolling Stones, featured on their 1981 album *Tattoo You*, known for its upbeat rock sound and satirical lyrics about economic hardship.
-
B.
On Fire
On Fire is a nonfiction book by Naomi Klein that explores the climate crisis and advocates for transformative, justice-centered solutions such as a Green New Deal.
-
C.
On Fire
"On Fire" is an ancient treatise by the Greek philosopher Theophrastus that examines the nature, causes, and properties of fire within early scientific and philosophical thought.
-
D.
On Fire
"On Fire" is a hip-hop track produced by Kasseem Daoud Dean, better known as Swizz Beatz, showcasing his signature energetic, hard-hitting production style.
-
E.
On Fire
"On Fire" is a popular single by the American rock band Rebirth, known for its energetic sound and memorable hooks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c481a48190b311d6809808ef1b |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d259f7c81908366e7d9e61a6c73 |
completed | May 1, 2026, 12:31 p.m. |
Created at: April 8, 2026, 9:46 p.m.