Triple
T14642085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Back to School |
E343748
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | David Rawlins |
E353861
|
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: David Rawlins | Statement: [Back to School, editedBy, David Rawlins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Rawlins Context triple: [Back to School, editedBy, David Rawlins]
-
A.
David Rawlins
chosen
David Rawlins is a film editor best known for his work on movies such as the thriller "The Osterman Weekend."
-
B.
Jason Dooley
Jason Dooley is a musician best known as a performer associated with the band Born of You.
-
C.
Dave Erickson
Dave Erickson is an American television writer and producer best known for co-creating and showrunning the post-apocalyptic horror drama series Fear the Walking Dead.
-
D.
Carl Cheffers
Carl Cheffers is an American NFL official who has served as a referee in multiple high-profile games, including the Super Bowl.
-
E.
Mike McDaniel
Mike McDaniel is an innovative NFL head coach known for his offensive creativity and leadership of the Miami Dolphins.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4e80aa48190884bab800f357106 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5d404e881908d26e684702ae122 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:26 a.m.