Triple
T1376330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan Brooke |
E29233
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Brooke |
E155232
|
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: Brooke | Statement: [Alan Brooke, familyName, Brooke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brooke Context triple: [Alan Brooke, familyName, Brooke]
-
A.
Brooke
Brooke Astor was a prominent American philanthropist and socialite known for her extensive charitable work in New York City.
-
B.
Brooke
chosen
Brooke is an English surname most famously associated with Rupert Brooke, the early 20th-century poet known for his idealistic war sonnets.
-
C.
Brooke Hunter
Brooke Hunter is known as the wife of the late Canadian-American comedic actor Leslie Nielsen.
-
D.
Brenna
Brenna is a Norwegian surname most notably borne by Tonje Brenna, a contemporary Norwegian politician.
-
E.
Hunter Brook
Hunter Brook is a small tributary stream that feeds into New York’s Croton River within the Croton River watershed.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a498d883a48190bfdca525296ef7ee |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c2f9b51c8190ad52fd8c151499be |
completed | March 1, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acde1c7e5c8190a6b999f2d5dce088 |
completed | March 8, 2026, 2:25 a.m. |
Created at: March 1, 2026, 7:59 p.m.