Triple
T5633185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aunt Dahlia |
E147881
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Travers
Travers is a fictional English surname most notably borne by Aunt Dahlia in P. G. Wodehouse’s Jeeves and Wooster stories.
|
E538473
|
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: Travers | Statement: [Aunt Dahlia, familyName, Travers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Travers Context triple: [Aunt Dahlia, familyName, Travers]
-
A.
Traversia lyalli
Traversia lyalli, commonly known as Lyall's wren or the Stephens Island wren, was a small, flightless New Zealand wren that is now extinct and notable for its rapid disappearance after European contact.
-
B.
Chas
Chas is a common diminutive or nickname for the given name Charles.
-
C.
Follow Thru
Follow Thru is a 1930 Pre-Code musical comedy film adaptation of a popular Broadway golf-themed stage musical, noted for its early use of Technicolor and starring Charles "Buddy" Rogers.
-
D.
Trave
The Trave is a river in northern Germany that flows through the state of Schleswig-Holstein to the Baltic Sea, notably passing through the city of Lübeck.
-
E.
Trostan
Trostan is a mountain in Northern Ireland and the highest peak in County Antrim.
- 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: Travers Triple: [Aunt Dahlia, familyName, Travers]
Generated description
Travers is a fictional English surname most notably borne by Aunt Dahlia in P. G. Wodehouse’s Jeeves and Wooster stories.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Travers Target entity description: Travers is a fictional English surname most notably borne by Aunt Dahlia in P. G. Wodehouse’s Jeeves and Wooster stories.
-
A.
Traversia lyalli
Traversia lyalli, commonly known as Lyall's wren or the Stephens Island wren, was a small, flightless New Zealand wren that is now extinct and notable for its rapid disappearance after European contact.
-
B.
Chas
Chas is a common diminutive or nickname for the given name Charles.
-
C.
Follow Thru
Follow Thru is a 1930 Pre-Code musical comedy film adaptation of a popular Broadway golf-themed stage musical, noted for its early use of Technicolor and starring Charles "Buddy" Rogers.
-
D.
Trave
The Trave is a river in northern Germany that flows through the state of Schleswig-Holstein to the Baltic Sea, notably passing through the city of Lübeck.
-
E.
Trostan
Trostan is a mountain in Northern Ireland and the highest peak in County Antrim.
- 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_69c00907bc8881909ed760d3ed73ef35 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0225ff3248190b93c9f5887553fd4 |
completed | March 22, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d69128881909870e8901f967e80 |
completed | March 22, 2026, 8:13 p.m. |
| NEDg | Description generation | batch_69c04e8a92a0819091bad1fbef4a509b |
completed | March 22, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c056acf1f48190bf7324ae178adbb7 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 3:41 p.m.