Triple
T7972194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Time to Kill |
E185349
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Half the Man |
E702569
|
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: Half the Man | Statement: [No Time to Kill, hasSingle, Half the Man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Half the Man Context triple: [No Time to Kill, hasSingle, Half the Man]
-
A.
Half the Man
chosen
"Half the Man" is a song by country artist Clint Black from his 1993 album *No Time to Kill*.
-
B.
Half a Man
Half a Man is a major conceptual art project by Mike Kelley that uses stuffed animals and craft materials to explore themes of childhood, memory, and abjection.
-
C.
Between Man and Man
"Between Man and Man" is a philosophical work by Martin Buber that explores the nature of human relationships, dialogue, and the I–Thou encounter.
-
D.
The Troubled Man
The Troubled Man is a crime novel by Swedish author Henning Mankell, featuring detective Kurt Wallander in a politically tinged mystery involving Cold War secrets and personal turmoil.
-
E.
Man's Fate
Man's Fate is a 1933 existential novel by French writer André Malraux that portrays the failed 1927 communist uprising in Shanghai and explores themes of revolution, fate, and human suffering.
- 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_69ca8297699481909b75a405f01e03af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bd580dc819084be5b7963b6029c |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56710dd0819084da3898cb0933b0 |
completed | March 31, 2026, 11:19 p.m. |
Created at: March 30, 2026, 5:13 p.m.