Triple
T37818926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zakk Wylde |
E942851
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Sabbath Page Wylde
Sabbath Page Wylde is the daughter of American guitarist Zakk Wylde, known for his work with Ozzy Osbourne and the band Black Label Society.
|
E2244305
|
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: Sabbath Page Wylde | Statement: [Zakk Wylde, hasChild, Sabbath Page Wylde]
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: Sabbath Page Wylde Triple: [Zakk Wylde, hasChild, Sabbath Page Wylde]
Generated description
Sabbath Page Wylde is the daughter of American guitarist Zakk Wylde, known for his work with Ozzy Osbourne and the band Black Label Society.
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_69f76ee987588190906506e759be5db3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbb1c27b88819088212b1ef7b02161 |
completed | May 6, 2026, 9:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40f1980eb48190a8d82446170ed3a0 |
completed | June 28, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_6a40f521568481908932c5f4790b7133 |
completed | June 28, 2026, 10:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a40f60e7c248190ba43bc1519f2576e |
completed | June 28, 2026, 10:23 a.m. |
Created at: May 3, 2026, 4:19 p.m.