Triple
T3130711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inhale |
E65404
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Inhale |
E65404
|
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: Inhale | Statement: [Inhale, hasTitle, Inhale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inhale Context triple: [Inhale, hasTitle, Inhale]
-
A.
Inhale
chosen
"Inhale" is a track by Q-Tip featured on his 2008 album "The Renaissance," which is included as part of the single release "Universal Mind Control."
-
B.
Breathe
"Breathe" is a song by Irish rock band U2 from their 2009 album *No Line on the Horizon*, blending driving rhythms with reflective, stream-of-consciousness lyrics.
-
C.
Breathe
"Breathe" is a hit country-pop song by American singer Faith Hill that became one of her signature crossover successes in the late 1990s.
-
D.
Breathe
Breathe is a biographical drama film inspired by the life of producer Jonathan Cavendish’s father, focusing on love, resilience, and living fully in the face of disability.
-
E.
The Smoke
The Smoke is the English name of Surah Ad-Dukhan, a chapter of the Qur’an that warns of a coming smoke as a sign of divine punishment and emphasizes God’s power and mercy.
- 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_69ad8581c25c8190b0d85ba9b9baa531 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada54b0e688190b691771f17f4c721 |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f7f9e288190af5f2b2aa6ff63b3 |
completed | March 12, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:04 p.m.