Triple
T8243425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warden Hal Moores |
E192790
|
entity |
| Predicate | supervises |
P258
|
FINISHED |
| Object | Paul Edgecombe |
E213341
|
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: Paul Edgecombe | Statement: [Warden Hal Moores, supervises, Paul Edgecombe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Edgecombe Context triple: [Warden Hal Moores, supervises, Paul Edgecombe]
-
A.
Paul Edgecombe
chosen
Paul Edgecombe is the central prison guard protagonist of Stephen King’s novel "The Green Mile," whose reflective narration recounts the supernatural and moral events on death row.
-
B.
Richard Edgecombe
Richard Edgecombe was a British nobleman and politician after whom Edgecombe County in North Carolina was named.
-
C.
Ian Craig Marsh
Ian Craig Marsh is a British electronic musician best known as a founding member of pioneering synth-pop bands The Human League and Heaven 17.
-
D.
Paul Torday
Paul Torday was a British novelist best known for his satirical debut novel "Salmon Fishing in the Yemen," which brought him widespread recognition later in life.
-
E.
Jeffrey Stott
Jeffrey Stott is a film producer best known for his work on the political comedy film "The American President."
- 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb786f65708190a92ec282b280c813 |
completed | March 31, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1cc9be088190b2b51281bc2f71bf |
completed | April 2, 2026, 7:37 a.m. |
Created at: March 30, 2026, 5:47 p.m.