Triple
T20042406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Griller |
E497454
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Hide and Seek
"Hide and Seek" is a song by the Japanese rock band Griller.
|
E1408269
|
NE FINISHED |
How this triple was built (4 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: [Griller, hasTrack, Hide and Seek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hide and Seek Context triple: [Griller, hasTrack, Hide and Seek]
-
A.
Hide and Seek
"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 an episode of the television series "The Hunt," likely centered on themes of pursuit, evasion, and suspense.
-
C.
Hide and Seek
"Hide and Seek" is a crime novel by Scottish author Ian Rankin featuring Inspector Rebus investigating a suspicious death in Edinburgh’s underworld.
-
D.
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.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hide and Seek Triple: [Griller, hasTrack, Hide and Seek]
Generated description
"Hide and Seek" is a song by the Japanese rock band Griller.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hide and Seek Target entity description: "Hide and Seek" is a song by the Japanese rock band Griller.
-
A.
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.
-
B.
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.
-
C.
Hide and Seek
"Hide and Seek" is an episode of the television series "The Hunt," likely centered on themes of pursuit, evasion, and suspense.
-
D.
Hide and Seek
"Hide and Seek" is a crime novel by Scottish author Ian Rankin featuring Inspector Rebus investigating a suspicious death in Edinburgh’s underworld.
-
E.
Hide and Seek
"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.
- F. None of above. chosen
Provenance (5 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662ec9ae0819097032ff50d6215c2 |
completed | April 20, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0815feaf408190adccfa72b51a5cef |
completed | May 16, 2026, 7 a.m. |
| NEDg | Description generation | batch_6a0816ee85188190906ba3577cbe8e3e |
completed | May 16, 2026, 7:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a081753efc88190b3fa2ea810f93220 |
completed | May 16, 2026, 7:05 a.m. |
Created at: April 11, 2026, 3:37 p.m.