Triple
T29962236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curve of the Earth |
E761078
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Bombay Blue
"Bombay Blue" is a song featured on the album "Curve of the Earth" by the British alternative rock band The Maccabees.
|
E1892716
|
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: Bombay Blue | Statement: [Curve of the Earth, hasTrack, Bombay Blue]
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: Bombay Blue Triple: [Curve of the Earth, hasTrack, Bombay Blue]
Generated description
"Bombay Blue" is a song featured on the album "Curve of the Earth" by the British alternative rock band The Maccabees.
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_69f22466327481908ba6db916837bece |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6783ea0248190b94aa4c3608b878d |
completed | May 2, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a27143b85c48190b8c2c1e82610feab |
completed | June 8, 2026, 7:12 p.m. |
| NEDg | Description generation | batch_6a2714e1c8e481908c45710cfa349f8c |
completed | June 8, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2719b5235c819090f3a34d8e2478b0 |
completed | June 8, 2026, 7:36 p.m. |
Created at: April 29, 2026, 6:29 p.m.