Triple
T29413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Breed |
E587
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Breed
Breed is the surname of London Breed, the mayor of San Francisco and a prominent American political figure.
|
E587
|
NE FINISHED |
How this triple was built (4 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: Breed | Statement: [London Breed, familyName, Breed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Breed Context triple: [London Breed, familyName, Breed]
-
A.
Bronk
Bronk is a surname most notably associated with Detlev W. Bronk, an influential American scientist and educator who helped shape modern biophysics and higher education policy.
-
B.
Lick
Lick is the nickname of Joseph Carl Robnett Licklider, a pioneering American computer scientist whose ideas helped lay the foundations for interactive computing and the internet.
-
C.
London Breed
London Breed is an American politician serving as the mayor of San Francisco and the first Black woman to hold that office.
-
D.
Crown
The Crown is the institution representing the British monarchy and the executive authority of the state, distinct from Parliament and the judiciary.
-
E.
The Ants
The Ants is a Pulitzer Prize–winning scientific book that provides a comprehensive and authoritative overview of ant biology, behavior, and social organization.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Breed Triple: [London Breed, familyName, Breed]
Generated description
Breed is the surname of London Breed, the mayor of San Francisco and a prominent American political figure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Breed Target entity description: Breed is the surname of London Breed, the mayor of San Francisco and a prominent American political figure.
-
A.
Bronk
Bronk is a surname most notably associated with Detlev W. Bronk, an influential American scientist and educator who helped shape modern biophysics and higher education policy.
-
B.
Lick
Lick is the nickname of Joseph Carl Robnett Licklider, a pioneering American computer scientist whose ideas helped lay the foundations for interactive computing and the internet.
-
C.
London Breed
chosen
London Breed is an American politician serving as the mayor of San Francisco and the first Black woman to hold that office.
-
D.
Crown
The Crown is the institution representing the British monarchy and the executive authority of the state, distinct from Parliament and the judiciary.
-
E.
The Ants
The Ants is a Pulitzer Prize–winning scientific book that provides a comprehensive and authoritative overview of ant biology, behavior, and social organization.
- F. None of above.
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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a248751fa88190992b6262a44b54f3 |
completed | Feb. 28, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a24e5d121c8190bf7bb88346dcc141 |
completed | Feb. 28, 2026, 2:09 a.m. |
| NEDg | Description generation | batch_69a24edff52081909ec669158900651c |
completed | Feb. 28, 2026, 2:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a24f4a96288190981be6076e919262 |
completed | Feb. 28, 2026, 2:13 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.