Triple
T6114968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hiromi Uehara |
E136336
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Spiral |
E39561
|
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: Spiral | Statement: [Hiromi Uehara, notableWork, Spiral]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spiral Context triple: [Hiromi Uehara, notableWork, Spiral]
-
A.
Spiral
"Spiral" is a notable work by filmmaker Mark Burg, best known as a producer in the horror and thriller genres.
-
B.
Spiral
Spiral is a distinctive modern architectural complex in Tokyo’s Aoyama district known for its spiral ramp design and role as a cultural and commercial hub.
-
C.
Spiral (album)
chosen
Spiral is a 1977 electronic music album by Greek composer Vangelis, known for its synthesizer-driven, space-themed soundscapes and innovative use of electronic instrumentation.
-
D.
Spiralling
"Spiralling" is a song by the English alternative rock band Keane, known for its upbeat, synth-driven sound and departure from their earlier piano-rock style.
-
E.
Helix
Helix is a multi-launch steel roller coaster at the Liseberg amusement park in Gothenburg, Sweden, known for its intense inversions and terrain-hugging layout.
- 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bc0bee08190ab93eae34ea8cdde |
completed | March 22, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1256aa9f8819090fdc98343af6f8e |
completed | March 23, 2026, 11:35 a.m. |
Created at: March 22, 2026, 4:14 p.m.