Triple
T9042537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Nightwatchman |
E216667
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Whatever It Takes |
E596467
|
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: Whatever It Takes | Statement: [The Nightwatchman, notableSong, Whatever It Takes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whatever It Takes Context triple: [The Nightwatchman, notableSong, Whatever It Takes]
-
A.
Whatever It Takes
chosen
"Whatever It Takes" is a high-energy pop rock song by Imagine Dragons known for its motivational lyrics and heavy use in sports and media promotions.
-
B.
What It Takes
"What It Takes" is a song by the American rock band Aerosmith, released in 1989 as a power ballad from their album "Pump."
-
C.
Take What You Got
"Take What You Got" is a song from the Broadway musical *Kinky Boots*, featured as one of its energetic, character-driven numbers.
-
D.
Take It So Hard
"Take It So Hard" is a rock song by Keith Richards, best known as the lead single from his 1988 solo album "Talk Is Cheap."
-
E.
Take It All
"Take It All" is a dramatic song performed by Marion Cotillard in the 2009 musical film *Nine*, known for its emotional intensity and central role in the movie’s narrative.
- 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_69ca83d22d488190adbce5e020e9cd1d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b1228748190be0c4afe6e0bd9a3 |
completed | April 1, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeba4c5f48190b7fc85f2137dd93e |
completed | April 3, 2026, 4:32 p.m. |
Created at: March 30, 2026, 7:09 p.m.