Triple
T20844811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Claremont |
E513192
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | God Loves, Man Kills |
—
|
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: God Loves, Man Kills | Statement: [Chris Claremont, notableWork, God Loves, Man Kills]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: God Loves, Man Kills Context triple: [Chris Claremont, notableWork, God Loves, Man Kills]
-
A.
Got Love to Kill
"Got Love to Kill" is a rock song by the American band Juliette and the Licks, fronted by actress and singer Juliette Lewis.
-
B.
A Love to Kill
A Love to Kill is a South Korean television drama series starring Rain as a troubled fighter who seeks revenge but becomes entangled in a tragic love story.
-
C.
Those Who Kill
Those Who Kill is an American crime drama television series centered on a homicide detective and a forensic psychiatrist who track and profile serial killers.
-
D.
The Evil That Men Do
The Evil That Men Do is a 1984 action-thriller film starring Charles Bronson as a retired assassin drawn back into violence to confront a notorious torturer.
-
E.
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.
- 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: God Loves, Man Kills Target entity description: God Loves, Man Kills is a critically acclaimed X-Men graphic novel that explores themes of religious extremism, prejudice, and social justice within the Marvel Comics universe.
-
A.
Got Love to Kill
"Got Love to Kill" is a rock song by the American band Juliette and the Licks, fronted by actress and singer Juliette Lewis.
-
B.
A Love to Kill
A Love to Kill is a South Korean television drama series starring Rain as a troubled fighter who seeks revenge but becomes entangled in a tragic love story.
-
C.
Those Who Kill
Those Who Kill is an American crime drama television series centered on a homicide detective and a forensic psychiatrist who track and profile serial killers.
-
D.
The Evil That Men Do
The Evil That Men Do is a 1984 action-thriller film starring Charles Bronson as a retired assassin drawn back into violence to confront a notorious torturer.
-
E.
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.
- 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_69e0b4f4898081908209e58edb8f9c45 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c34deef88190992b959b83bc59b1 |
completed | April 21, 2026, 12:22 a.m. |
Created at: April 16, 2026, 12:43 p.m.