Triple
T2676853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thornton Wilder |
E56480
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Wilder
Wilder is a common English surname borne by various notable figures in literature, film, and other fields.
|
E288390
|
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: Wilder | Statement: [Thornton Wilder, familyName, Wilder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilder Context triple: [Thornton Wilder, familyName, Wilder]
-
A.
Orson
Orson is a masculine given name most famously associated with the American filmmaker and actor Orson Welles.
-
B.
Lud Wray
Lud Wray was an early professional football coach and executive best known for co-founding and serving as the first head coach of the Philadelphia Eagles in the NFL.
-
C.
Wyler
Wyler is a surname most notably associated with William Wyler, the acclaimed film director known for classics such as "Ben-Hur" and "Roman Holiday."
-
D.
Tuesday Weld
Tuesday Weld is an American actress known for her work in film and television from the late 1950s onward, including acclaimed performances in movies like "The Cincinnati Kid" and "Looking for Mr. Goodbar."
-
E.
Oscar Folsom
Oscar Folsom was an American lawyer from Buffalo, New York, best known as the father of Frances Folsom Cleveland, the youngest First Lady in U.S. 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: Wilder Triple: [Thornton Wilder, familyName, Wilder]
Generated description
Wilder is a common English surname borne by various notable figures in literature, film, and other fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wilder Target entity description: Wilder is a common English surname borne by various notable figures in literature, film, and other fields.
-
A.
Orson
Orson is a masculine given name most famously associated with the American filmmaker and actor Orson Welles.
-
B.
Lud Wray
Lud Wray was an early professional football coach and executive best known for co-founding and serving as the first head coach of the Philadelphia Eagles in the NFL.
-
C.
Wyler
Wyler is a surname most notably associated with William Wyler, the acclaimed film director known for classics such as "Ben-Hur" and "Roman Holiday."
-
D.
Tuesday Weld
Tuesday Weld is an American actress known for her work in film and television from the late 1950s onward, including acclaimed performances in movies like "The Cincinnati Kid" and "Looking for Mr. Goodbar."
-
E.
Oscar Folsom
Oscar Folsom was an American lawyer from Buffalo, New York, best known as the father of Frances Folsom Cleveland, the youngest First Lady in U.S. 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9b4a70481909d8b8242039c1cf2 |
completed | March 7, 2026, 7:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa065a6f48190973a3b6c52aa23bf |
completed | March 10, 2026, 4:39 a.m. |
| NEDg | Description generation | batch_69afa1c4d33c8190b8efa8c1dac0772f |
completed | March 10, 2026, 4:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afa24388f48190854fdbac52ee8a03 |
completed | March 10, 2026, 4:46 a.m. |
Created at: March 6, 2026, 9:54 p.m.