Triple
T16439373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Hundred Million Suns |
E399257
|
entity |
| Predicate | hasTrackSequence |
P85564
|
FINISHED |
| Object | The Lightning Strike as closing track |
—
|
LITERAL 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: The Lightning Strike as closing track | Statement: [A Hundred Million Suns, hasTrackSequence, The Lightning Strike as closing track]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrackSequence Context triple: [A Hundred Million Suns, hasTrackSequence, The Lightning Strike as closing track]
-
A.
hasTrack
Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
-
B.
hasTrackSection
Indicates that an entity includes, is composed of, or is associated with a specific section or segment of a track.
-
C.
hasAlbumSequenceContext
Indicates that an album is associated with a particular position or contextual role within a sequence of albums.
-
D.
hasTrackFeatures
Indicates that something possesses or is associated with specific track-related characteristics or attributes.
-
E.
hasTrackContext
chosen
Indicates that an entity is associated with or occurs within a particular track-related context (such as a specific track, route, or sequence).
- F. None of above.
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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba720a48190b0b412225e993e52 |
completed | April 18, 2026, 6:58 a.m. |
| PD | Predicate disambiguation | batch_69e22701d2288190bf8676050758f172 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:10 a.m.