Triple
T21599923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josephson Entertainment |
E533008
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Hide and Seek |
—
|
NE NERFINISHED |
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: Hide and Seek | Statement: [Josephson Entertainment, notableWork, Hide and Seek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hide and Seek Context triple: [Josephson Entertainment, notableWork, Hide and Seek]
-
A.
Hide and Seek
chosen
"Hide and Seek" is a 2005 psychological horror-thriller film starring Dakota Fanning and Robert De Niro, centered on a young girl with a mysterious imaginary friend following a family tragedy.
-
B.
Hide and Seek
"Hide and Seek" is a synth-pop song by British musician Howard Jones, known for its introspective lyrics and atmospheric electronic sound.
-
C.
Hide and Seek
"Hide and Seek" is an a cappella electronic song by Imogen Heap, renowned for its vocoder-processed vocals and emotional, minimalist production.
-
D.
Hide and Seek
"Hide and Seek" is a song by the Japanese rock band Griller.
-
E.
Hide and Seek
"Hide and Seek" is an episode of the television series "The Hunt," likely centered on themes of pursuit, evasion, and suspense.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefae4746c819090afe1d93fe9f175 |
completed | April 27, 2026, 5:57 a.m. |
Created at: April 16, 2026, 6:32 p.m.