Triple
T11553233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Johnson |
E273946
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Tetty
Tetty is the affectionate nickname of Elizabeth Johnson, the wife of 18th-century English writer Samuel Johnson.
|
E932776
|
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: Tetty | Statement: [Elizabeth Johnson, nickname, Tetty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tetty Context triple: [Elizabeth Johnson, nickname, Tetty]
-
A.
Tebbe
Tebbe is a German surname that serves as the etymological root for the name Tibbets.
-
B.
Bettejane
Bettejane is the birth name of American film noir actress Jane Greer, known for her role in the classic movie "Out of the Past."
-
C.
Frieda
Frieda is a 1947 British drama film produced by Michael Balcon that explores post-World War II tensions and prejudice in England.
-
D.
Frieda
Frieda is a minor Peanuts character known for her naturally curly hair and prim personality, who appears alongside Charlie Brown and his friends.
-
E.
Arletta
Arletta, better known as Herleva of Falaise, was the mother of William the Conqueror and a notable figure in 11th-century Norman history.
- 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: Tetty Triple: [Elizabeth Johnson, nickname, Tetty]
Generated description
Tetty is the affectionate nickname of Elizabeth Johnson, the wife of 18th-century English writer Samuel Johnson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tetty Target entity description: Tetty is the affectionate nickname of Elizabeth Johnson, the wife of 18th-century English writer Samuel Johnson.
-
A.
Tebbe
Tebbe is a German surname that serves as the etymological root for the name Tibbets.
-
B.
Bettejane
Bettejane is the birth name of American film noir actress Jane Greer, known for her role in the classic movie "Out of the Past."
-
C.
Frieda
Frieda is a 1947 British drama film produced by Michael Balcon that explores post-World War II tensions and prejudice in England.
-
D.
Frieda
Frieda is a minor Peanuts character known for her naturally curly hair and prim personality, who appears alongside Charlie Brown and his friends.
-
E.
Arletta
Arletta, better known as Herleva of Falaise, was the mother of William the Conqueror and a notable figure in 11th-century Norman history.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88a85b9ac8190a57c1fdaeacbe3d6 |
completed | April 10, 2026, 5:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e851a6688190996580a077496833 |
completed | April 21, 2026, 3 a.m. |
| NEDg | Description generation | batch_69e6ef93e7d88190af3853b82de23c1b |
completed | April 21, 2026, 3:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6f9144afc819081ee7f78e32ad39a |
completed | April 21, 2026, 4:12 a.m. |
Created at: April 8, 2026, 9:37 p.m.