Triple
T13702479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big Doll House |
E328553
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Don Spencer
Don Spencer is a screenwriter known for his work on the 1971 women-in-prison exploitation film "The Big Doll House."
|
E1055275
|
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: Don Spencer | Statement: [The Big Doll House, screenwriter, Don Spencer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Spencer Context triple: [The Big Doll House, screenwriter, Don Spencer]
-
A.
Christopher Spencer
Christopher Spencer is a British film and television director and writer known for his work on historical and religious dramas, including the 2014 film "Son of God."
-
B.
Jon Sopel
Jon Sopel is a British journalist and broadcaster best known for his work as a BBC correspondent and news presenter.
-
C.
Graham Spencer
Graham Spencer is an American computer scientist and entrepreneur best known as a co-founder of the early internet search and web portal company Excite.
-
D.
Stephen Robson
Stephen Robson is a writer best known for his work on the film "Shine."
-
E.
Phillip Schofield
Phillip Schofield is a British television presenter best known for his long-running work on ITV, including co-hosting popular daytime and entertainment shows.
- 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: Don Spencer Triple: [The Big Doll House, screenwriter, Don Spencer]
Generated description
Don Spencer is a screenwriter known for his work on the 1971 women-in-prison exploitation film "The Big Doll House."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Don Spencer Target entity description: Don Spencer is a screenwriter known for his work on the 1971 women-in-prison exploitation film "The Big Doll House."
-
A.
Christopher Spencer
Christopher Spencer is a British film and television director and writer known for his work on historical and religious dramas, including the 2014 film "Son of God."
-
B.
Jon Sopel
Jon Sopel is a British journalist and broadcaster best known for his work as a BBC correspondent and news presenter.
-
C.
Graham Spencer
Graham Spencer is an American computer scientist and entrepreneur best known as a co-founder of the early internet search and web portal company Excite.
-
D.
Stephen Robson
Stephen Robson is a writer best known for his work on the film "Shine."
-
E.
Phillip Schofield
Phillip Schofield is a British television presenter best known for his long-running work on ITV, including co-hosting popular daytime and entertainment shows.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad162158819089280ee1e6b5c2cf |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79459192c81908132ad9813d69125 |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f79655d5f08190a3cbf3e12e2ffa67 |
completed | May 3, 2026, 6:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7972a1cf48190a1d435227414967a |
completed | May 3, 2026, 6:42 p.m. |
Created at: April 9, 2026, 9:54 p.m.