Triple
T24888612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Bourchier, 7th Baroness Bourchier |
E622929
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object |
Henry Bourchier, 2nd Earl of Essex
Henry Bourchier, 2nd Earl of Essex, was an English nobleman and courtier of the early 16th century who served under King Henry VIII and held prominent military and political offices.
|
E1649585
|
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: Henry Bourchier, 2nd Earl of Essex | Statement: [Anne Bourchier, 7th Baroness Bourchier, father, Henry Bourchier, 2nd Earl of Essex]
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: Henry Bourchier, 2nd Earl of Essex Triple: [Anne Bourchier, 7th Baroness Bourchier, father, Henry Bourchier, 2nd Earl of Essex]
Generated description
Henry Bourchier, 2nd Earl of Essex, was an English nobleman and courtier of the early 16th century who served under King Henry VIII and held prominent military and political offices.
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_69e2fac597708190a922bf39a49ec70a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f423428cbc8190b5372295f60df30e |
completed | May 1, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a101c6a981c81909eca63e109ab6971 |
completed | May 22, 2026, 9:05 a.m. |
| NEDg | Description generation | batch_6a10229229a481909ebb009ce5932e8b |
completed | May 22, 2026, 9:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a102388612c81909fda138f132409a3 |
completed | May 22, 2026, 9:36 a.m. |
Created at: April 18, 2026, 5:25 a.m.