Triple
T10918719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Haxan Cloak |
E257889
|
entity |
| Predicate | hasFilmScore |
P57302
|
FINISHED |
| Object | Enemy |
E137588
|
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: Enemy | Statement: [The Haxan Cloak, hasFilmScore, Enemy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enemy Context triple: [The Haxan Cloak, hasFilmScore, Enemy]
-
A.
Enemy
chosen
Enemy is a 2013 psychological thriller film directed by Denis Villeneuve, known for its surreal, mind-bending narrative and Jake Gyllenhaal’s dual-role performance.
-
B.
Enemy
"Enemy" is a hit song by American pop rock band Imagine Dragons, widely known for its use as the theme for the animated series *Arcane: League of Legends*.
-
C.
Enemies
Enemies is a 1937 polemical book by Joseph Franklin Rutherford, then president of the Watch Tower Bible and Tract Society, attacking organized religion, political systems, and other institutions he viewed as opposed to Jehovah’s Witnesses.
-
D.
Demon
Demon is a classic looping steel roller coaster at California’s Great America known for its inversions and themed tunnel elements.
-
E.
Demon
"Demon" is a romantic opera by Russian composer Anton Rubinstein, based on Mikhail Lermontov’s poem about a fallen spirit who falls tragically in love with a mortal woman.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77080317881909fc50ac3576cefa8 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2170bb97c81908e8d209ddb630601 |
completed | April 17, 2026, 11:18 a.m. |
Created at: April 8, 2026, 9:22 p.m.