Triple
T4626215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Score |
E101102
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Tom Rolf |
E214378
|
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: Tom Rolf | Statement: [The Score, editedBy, Tom Rolf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Rolf Context triple: [The Score, editedBy, Tom Rolf]
-
A.
Tom Rolf
chosen
Tom Rolf was an American film editor best known for his work on acclaimed movies such as "Taxi Driver" and for winning an Academy Award for editing "The Right Stuff."
-
B.
Ron Hagen
Ron Hagen is a cinematographer best known for his work on the Australian film "Romper Stomper."
-
C.
Curt Rothenberger
Curt Rothenberger was a German jurist and high-ranking Nazi official who played a key role in implementing and justifying the Third Reich’s oppressive legal policies.
-
D.
Bill Elfers
Bill Elfers was an American venture capitalist best known for co-founding the influential Silicon Valley and Boston-based firm Greylock Partners.
-
E.
Bob Suter
Bob Suter was an American defenseman best known as a member of the "Miracle on Ice" 1980 U.S. Olympic hockey team and later a prominent youth hockey coach and scout.
- 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a0a7b588190bc6552ee5babb198 |
completed | March 20, 2026, 2:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be0360f7548190b4d1c2e0e53985e8 |
completed | March 21, 2026, 2:33 a.m. |
Created at: March 20, 2026, 1:13 p.m.