Triple
T11844772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Professor Marvel |
E281745
|
entity |
| Predicate | screenwritersOfWork |
P48034
|
FINISHED |
| Object | Edgar Allan Woolf |
E48315
|
NE FINISHED |
How this triple was built (2 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: Edgar Allan Woolf | Statement: [Professor Marvel, screenwritersOfWork, Edgar Allan Woolf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edgar Allan Woolf Context triple: [Professor Marvel, screenwritersOfWork, Edgar Allan Woolf]
-
A.
Edgar Allan Woolf
chosen
Edgar Allan Woolf was an American playwright and screenwriter best known for co-writing the screenplay of the classic 1939 film "The Wizard of Oz."
-
B.
John Woolf
John Woolf was a prominent British film producer known for backing acclaimed mid-20th-century films, including several major literary adaptations and award-winning dramas.
-
C.
Edward Wild
Edward Wild is a cinematographer known for his work on feature films such as the romantic comedy "Chalet Girl."
-
D.
Edgar Howard
Edgar Howard was a U.S. Congressman from Nebraska known for his leadership on Native American policy and as a key legislative advocate of the Indian New Deal era.
-
E.
John Bedford Lloyd
John Bedford Lloyd is an American character actor known for his supporting roles in films and television series, including appearances in major dramas and thrillers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a65b5ff08190bb58361f6a6acdca |
completed | April 10, 2026, 7:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1679729c08190a9f6750586f90d8d |
completed | April 29, 2026, 2:06 a.m. |
Created at: April 8, 2026, 9:43 p.m.