Triple
T15063541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hard Target |
E379697
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Bob Murawski |
E311866
|
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: Bob Murawski | Statement: [Hard Target, editedBy, Bob Murawski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Murawski Context triple: [Hard Target, editedBy, Bob Murawski]
-
A.
Bob Murawski
chosen
Bob Murawski is an American film editor best known for his work on movies such as "The Hurt Locker," for which he won an Academy Award.
-
B.
Don Smolenski
Don Smolenski is an American sports executive best known for serving as the president of the NFL’s Philadelphia Eagles, overseeing the franchise’s business operations.
-
C.
Andrew J. Novobilski
Andrew J. Novobilski is a computer scientist and author known for co-writing influential work on the Objective-C programming language alongside Brad Cox.
-
D.
Peter Melnick
Peter Melnick is an American composer known for his film and television scores, including his work on the romantic comedy "L.A. Story."
-
E.
James Pankow
James Pankow is an American trombonist, composer, and founding member of the rock band Chicago, known for his influential horn arrangements and songwriting.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee803ac81908bb7d66e49c2eb72 |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed31debb48190908d59178e67adb6 |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:02 a.m.