Triple
T9729449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austin Pendleton |
E235700
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Austin
Austin is a common English given name used for people of all genders, derived from the Latin name Augustine.
|
E817700
|
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: Austin | Statement: [Austin Pendleton, givenName, Austin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Austin Context triple: [Austin Pendleton, givenName, Austin]
-
A.
Austin
Austin is a small historic mining town in central Nevada known for its 19th-century silver boom and remote, high-desert setting along U.S. Route 50.
-
B.
Austin
Austin is one of Chicago’s largest and most populous West Side community areas, known for its historic residential architecture and significant demographic and economic changes over time.
-
C.
Austin
Austin is a major city in central Texas known for its vibrant live music scene, tech industry, and cultural diversity.
-
D.
Austin
Austin is a common English surname of Anglo-Saxon origin, often associated with notable figures in philosophy, politics, and the arts.
-
E.
Austin
Austin is a historic British automobile marque best known for its mass-market cars produced throughout much of the 20th century.
- 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: Austin Triple: [Austin Pendleton, givenName, Austin]
Generated description
Austin is a common English given name used for people of all genders, derived from the Latin name Augustine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Austin Target entity description: Austin is a common English given name used for people of all genders, derived from the Latin name Augustine.
-
A.
Austin
Austin is a major city in central Texas known for its vibrant live music scene, tech industry, and cultural diversity.
-
B.
Austin
Austin is a small historic mining town in central Nevada known for its 19th-century silver boom and remote, high-desert setting along U.S. Route 50.
-
C.
Austin
Austin is a common English surname of Anglo-Saxon origin, often associated with notable figures in philosophy, politics, and the arts.
-
D.
Austin
Austin is one of Chicago’s largest and most populous West Side community areas, known for its historic residential architecture and significant demographic and economic changes over time.
-
E.
Austin
Austin is a historic British automobile marque best known for its mass-market cars produced throughout much of the 20th century.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eb0ff488190ac32ed304a3cd3bc |
completed | April 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1af53434c8190a93fec3538730d58 |
completed | April 5, 2026, 12:39 a.m. |
| NEDg | Description generation | batch_69d1b1a340d481908de95f04fcdd3bdd |
completed | April 5, 2026, 12:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1b2167d38819087f111e789cfc339 |
completed | April 5, 2026, 12:51 a.m. |
Created at: March 30, 2026, 8:21 p.m.