Triple
T22165191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seventh Star |
E547771
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | In for the Kill |
—
|
NE NERFINISHED |
How this triple was built (3 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: In for the Kill | Statement: [Seventh Star, hasTrack, In for the Kill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: In for the Kill Context triple: [Seventh Star, hasTrack, In for the Kill]
-
A.
In for the Kill
"In for the Kill" is a synth-pop song by English duo La Roux, fronted by Elly Jackson, that became one of their breakthrough hits in 2009.
-
B.
Seven Days to a Killing
Seven Days to a Killing is a 1972 spy thriller novel by Clive Egleton, centered on a British intelligence officer whose son is kidnapped as part of a high-stakes blackmail plot.
-
C.
The Kill
"The Kill" is a breakthrough rock single by Thirty Seconds to Mars, known for its emotionally intense vocals, cinematic music video, and major role in establishing the band's mainstream success.
-
D.
From a View to a Kill
"From a View to a Kill" is a James Bond short story by Ian Fleming, featuring 007 on a mission in France, later lending its title to the 1985 Bond film "A View to a Kill."
-
E.
A Vow to Kill
A Vow to Kill is a 1995 made-for-television thriller film starring Julianne Phillips as a woman whose seemingly perfect marriage turns dangerously deadly.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: In for the Kill Target entity description: "In for the Kill" is a heavy metal song by the band Seventh Star, featured on one of their studio releases.
-
A.
In for the Kill
"In for the Kill" is a synth-pop song by English duo La Roux, fronted by Elly Jackson, that became one of their breakthrough hits in 2009.
-
B.
Seven Days to a Killing
Seven Days to a Killing is a 1972 spy thriller novel by Clive Egleton, centered on a British intelligence officer whose son is kidnapped as part of a high-stakes blackmail plot.
-
C.
The Kill
"The Kill" is a breakthrough rock single by Thirty Seconds to Mars, known for its emotionally intense vocals, cinematic music video, and major role in establishing the band's mainstream success.
-
D.
From a View to a Kill
"From a View to a Kill" is a James Bond short story by Ian Fleming, featuring 007 on a mission in France, later lending its title to the 1985 Bond film "A View to a Kill."
-
E.
A Vow to Kill
A Vow to Kill is a 1995 made-for-television thriller film starring Julianne Phillips as a woman whose seemingly perfect marriage turns dangerously deadly.
- F. None of above. chosen
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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a314cc081908857c13d018d52b2 |
completed | April 28, 2026, 9:44 p.m. |
Created at: April 16, 2026, 8:34 p.m.