Triple
T2271498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Francisco Ballet |
E50668
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
SFB
SFB is the commonly used abbreviation for the San Francisco Ballet, one of the oldest and most prestigious professional ballet companies in the United States.
|
E250104
|
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: SFB | Statement: [San Francisco Ballet, alsoKnownAs, SFB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SFB Context triple: [San Francisco Ballet, alsoKnownAs, SFB]
-
A.
SF
SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
-
B.
NSB
NSB is the acronym for the National Science Board, the governing body that advises the U.S. government on national science and engineering policy and oversees the National Science Foundation.
-
C.
SIF
SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
-
D.
Sieber
Sieber is a small river in the German state of Lower Saxony that flows through the Harz Mountains and into the Oder.
-
E.
SAB
SAB is the School of American Ballet, a premier ballet academy in New York City that serves as the official training school for the New York City Ballet.
- 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: SFB Triple: [San Francisco Ballet, alsoKnownAs, SFB]
Generated description
SFB is the commonly used abbreviation for the San Francisco Ballet, one of the oldest and most prestigious professional ballet companies in the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SFB Target entity description: SFB is the commonly used abbreviation for the San Francisco Ballet, one of the oldest and most prestigious professional ballet companies in the United States.
-
A.
SF
SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
-
B.
NSB
NSB is the acronym for the National Science Board, the governing body that advises the U.S. government on national science and engineering policy and oversees the National Science Foundation.
-
C.
SIF
SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
-
D.
Sieber
Sieber is a small river in the German state of Lower Saxony that flows through the Harz Mountains and into the Oder.
-
E.
SAB
SAB is the School of American Ballet, a premier ballet academy in New York City that serves as the official training school for the New York City Ballet.
- F. None of above. chosen
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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1c0de488190876b644cdaa41637 |
completed | March 7, 2026, 6:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71db927c8190a76cfb873039b04b |
completed | March 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69ae7486bf808190a732e5eb7744b087 |
completed | March 9, 2026, 7:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae74eb89448190895fab4a493c6d08 |
completed | March 9, 2026, 7:21 a.m. |
Created at: March 4, 2026, 7:48 p.m.