Triple
T11589410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mummy’s Curse |
E274837
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Saul A. Goodkind
Saul A. Goodkind was an editor known for his work on the horror film "The Mummy’s Curse."
|
E937986
|
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: Saul A. Goodkind | Statement: [The Mummy’s Curse, editedBy, Saul A. Goodkind]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saul A. Goodkind Context triple: [The Mummy’s Curse, editedBy, Saul A. Goodkind]
-
A.
Saul A. Goodkind
Saul A. Goodkind was a film director active during the early 20th century, known for his work on science fiction and serial films.
-
B.
David A. Goodman
David A. Goodman is an American television writer and producer best known for his work on animated series such as Family Guy and for serving as president of the Writers Guild of America West.
-
C.
Dan Goodman
Dan Goodman is a central character in the rock musical "Next to Normal," portrayed as a devoted husband and father struggling to hold his family together amid his wife's severe mental illness.
-
D.
Douglas Meyer
Douglas Meyer is a theatrical producer best known for his work on the Broadway musical adaptation of "The Wedding Singer."
-
E.
Charles Rackoff
Charles Rackoff is a Canadian computer scientist known for his influential work in cryptography and computational complexity theory.
- 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: Saul A. Goodkind Triple: [The Mummy’s Curse, editedBy, Saul A. Goodkind]
Generated description
Saul A. Goodkind was an editor known for his work on the horror film "The Mummy’s Curse."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saul A. Goodkind Target entity description: Saul A. Goodkind was an editor known for his work on the horror film "The Mummy’s Curse."
-
A.
Saul A. Goodkind
Saul A. Goodkind was a film director active during the early 20th century, known for his work on science fiction and serial films.
-
B.
David A. Goodman
David A. Goodman is an American television writer and producer best known for his work on animated series such as Family Guy and for serving as president of the Writers Guild of America West.
-
C.
Dan Goodman
Dan Goodman is a central character in the rock musical "Next to Normal," portrayed as a devoted husband and father struggling to hold his family together amid his wife's severe mental illness.
-
D.
Douglas Meyer
Douglas Meyer is a theatrical producer best known for his work on the Broadway musical adaptation of "The Wedding Singer."
-
E.
Charles Rackoff
Charles Rackoff is a Canadian computer scientist known for his influential work in cryptography and computational complexity theory.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d894643ae48190837502b713f5b9c6 |
completed | April 10, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee86df14048190ae8f6d8b11610079 |
completed | April 26, 2026, 9:42 p.m. |
| NEDg | Description generation | batch_69eeb310e04c8190a1004662d5bbc015 |
completed | April 27, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69eee95dfff48190a3c3022cdfc6dafc |
completed | April 27, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:38 p.m.