Triple
T33605921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael E. Bakich |
E860852
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
1,001 Celestial Wonders to See Before You Die
1,001 Celestial Wonders to See Before You Die is an astronomy guidebook by Michael E. Bakich that catalogs and describes a wide range of notable celestial objects for amateur skywatchers to observe.
|
E2060070
|
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: 1,001 Celestial Wonders to See Before You Die | Statement: [Michael E. Bakich, notableWork, 1,001 Celestial Wonders to See Before You Die]
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: 1,001 Celestial Wonders to See Before You Die Triple: [Michael E. Bakich, notableWork, 1,001 Celestial Wonders to See Before You Die]
Generated description
1,001 Celestial Wonders to See Before You Die is an astronomy guidebook by Michael E. Bakich that catalogs and describes a wide range of notable celestial objects for amateur skywatchers to observe.
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_69f3498037c88190a4500f002b5540e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f7de9f808190bae013989cba83f0 |
completed | May 3, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36119960448190b1f6eaa096b2e6e1 |
completed | June 20, 2026, 4:05 a.m. |
| NEDg | Description generation | batch_6a36124cd90c81908080a9add5b26432 |
completed | June 20, 2026, 4:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a36133940348190976ba1855cc33c37 |
completed | June 20, 2026, 4:12 a.m. |
Created at: May 1, 2026, 1:41 a.m.