Triple
T28932820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Mountbatten, 2nd Marquess of Milford Haven |
E733832
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object |
Prince Louis of Battenberg, 1st Marquess of Milford Haven
Prince Louis of Battenberg, 1st Marquess of Milford Haven, was a German-born British naval officer and statesman who became First Sea Lord and the anglicized patriarch of a prominent branch of the British royal family during World War I.
|
E1846861
|
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: Prince Louis of Battenberg, 1st Marquess of Milford Haven | Statement: [George Mountbatten, 2nd Marquess of Milford Haven, predecessor, Prince Louis of Battenberg, 1st Marquess of Milford Haven]
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: Prince Louis of Battenberg, 1st Marquess of Milford Haven Triple: [George Mountbatten, 2nd Marquess of Milford Haven, predecessor, Prince Louis of Battenberg, 1st Marquess of Milford Haven]
Generated description
Prince Louis of Battenberg, 1st Marquess of Milford Haven, was a German-born British naval officer and statesman who became First Sea Lord and the anglicized patriarch of a prominent branch of the British royal family during World War I.
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_69f05b0b49b08190b8994b339c7980f6 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65b5453d0819082d3783b3b11019a |
completed | May 2, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a251f5499cc81909662a21fef7c3eca |
completed | June 7, 2026, 7:35 a.m. |
| NEDg | Description generation | batch_6a2524104f248190b4e082174c0af5d6 |
completed | June 7, 2026, 7:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a252473e3348190b28b26765408e7bb |
completed | June 7, 2026, 7:57 a.m. |
Created at: April 28, 2026, 8:29 a.m.