Triple
T11684041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brooke Hayward |
E277693
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Brooke |
E707281
|
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: [Brooke Hayward, givenName, Brooke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brooke Context triple: [Brooke Hayward, givenName, Brooke]
-
A.
Brooke
Brooke is the middle name of Roger Brooke Taney, the fifth Chief Justice of the United States Supreme Court.
-
B.
Brooke
chosen
Brooke is a feminine given name commonly used in English-speaking countries, often associated with nature due to its meaning related to a small stream.
-
C.
Brooke
Brooke Astor was a prominent American philanthropist and socialite known for her extensive charitable work in New York City.
-
D.
Brooke
Brooke is an English surname most famously associated with Rupert Brooke, the early 20th-century poet known for his idealistic war sonnets.
-
E.
Brooke Shy
Brooke Shy is a fictional character portrayed by actress Halston Sage, best known from the film "Paper Towns."
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a463f6448190a4c8e1651a2bd905 |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef83098e2c819081c22462372f64b4 |
completed | April 27, 2026, 3:38 p.m. |
Created at: April 8, 2026, 9:40 p.m.