Triple
T14605611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaos and the Calm |
E342821
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Collide |
E1108592
|
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: Collide | Statement: [Chaos and the Calm, hasPart, Collide]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Collide Context triple: [Chaos and the Calm, hasPart, Collide]
-
A.
Collide
"Collide" is a popular Christian rock song by the band Skillet, known for its emotionally intense lyrics and powerful, guitar-driven sound.
-
B.
Collide
"Collide" is a studio album by American R&B group Boyz II Men that showcases their signature harmonies blended with contemporary soul and pop influences.
-
C.
Collide
chosen
"Collide" is a song by British singer-songwriter James Bay from his debut studio album, *Chaos and the Calm*.
-
D.
Kollidam
Kollidam is a major distributary of the Kaveri River in Tamil Nadu, India, flowing past Srirangam and playing an important role in the region’s irrigation and riverine landscape.
-
E.
Collide (2016 film)
Collide (2016 film) is an action thriller about a botched heist and high-speed chase across Germany, starring Nicholas Hoult, Felicity Jones, Anthony Hopkins, and Ben Kingsley.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb44bf67c8190b4c48a7715f9443e |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda91d05e48190ac945e381d6d5dd9 |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:25 a.m.