Triple
T29997879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Grey, 1st Duke of Kent |
E762078
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Anthony Grey, Earl of Harold
Anthony Grey, Earl of Harold, was an English nobleman of the early 18th century and the son and heir apparent of Henry Grey, 1st Duke of Kent.
|
E1897899
|
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: Anthony Grey, Earl of Harold | Statement: [Henry Grey, 1st Duke of Kent, child, Anthony Grey, Earl of Harold]
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: Anthony Grey, Earl of Harold Triple: [Henry Grey, 1st Duke of Kent, child, Anthony Grey, Earl of Harold]
Generated description
Anthony Grey, Earl of Harold, was an English nobleman of the early 18th century and the son and heir apparent of Henry Grey, 1st Duke of Kent.
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_69f224695498819094a81037cad401e2 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6794c44c881908db0716b99c32481 |
completed | May 2, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a273224db3081909829e1bfb09b8c16 |
completed | June 8, 2026, 9:20 p.m. |
| NEDg | Description generation | batch_6a273412bb148190b807e5f7054478e3 |
completed | June 8, 2026, 9:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2734afdee081908b9e8400be7766da |
completed | June 8, 2026, 9:31 p.m. |
Created at: April 29, 2026, 6:40 p.m.