Triple
T33026822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robin McGraw |
E845064
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
What’s Age Got to Do with It? Living Your Healthiest and Happiest Life
"What’s Age Got to Do with It? Living Your Healthiest and Happiest Life" is a self-help and wellness book by Robin McGraw that offers advice on aging gracefully through healthy lifestyle choices, self-care, and a positive mindset.
|
E2031984
|
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: What’s Age Got to Do with It? Living Your Healthiest and Happiest Life | Statement: [Robin McGraw, notableWork, What’s Age Got to Do with It? Living Your Healthiest and Happiest Life]
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: What’s Age Got to Do with It? Living Your Healthiest and Happiest Life Triple: [Robin McGraw, notableWork, What’s Age Got to Do with It? Living Your Healthiest and Happiest Life]
Generated description
"What’s Age Got to Do with It? Living Your Healthiest and Happiest Life" is a self-help and wellness book by Robin McGraw that offers advice on aging gracefully through healthy lifestyle choices, self-care, and a positive mindset.
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_69f34950749c8190ae05cd27adb16d58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d2dacc4881908c4bfe5ab83368a2 |
completed | May 3, 2026, 4:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34dadef0c881909415cd864af2a9af |
completed | June 19, 2026, 5:59 a.m. |
| NEDg | Description generation | batch_6a34dbb1e474819095ca57b4364327cd |
completed | June 19, 2026, 6:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a34dc3d2df08190932ef2da9ac631ae |
completed | June 19, 2026, 6:05 a.m. |
Created at: May 1, 2026, 1:23 a.m.