Triple
T10282364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monster |
E241132
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Clark Peterson |
E241132
|
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: Clark Peterson | Statement: [Monster, producer, Clark Peterson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clark Peterson Context triple: [Monster, producer, Clark Peterson]
-
A.
Clark Peterson
chosen
Clark Peterson is a film producer best known for his work on the Academy Award–winning biographical drama "Monster" (2003).
-
B.
Daryl Sattler
Daryl Sattler is an American professional soccer goalkeeper best known for his standout performances in the North American Soccer League, particularly with the San Antonio Scorpions.
-
C.
Ken Nelson
Ken Nelson was an influential American record producer best known for his work with country and pop artists at Capitol Records during the mid-20th century.
-
D.
Dan Hunt
Dan Hunt is an American soccer executive and co-owner of FC Dallas, known for leading the Major League Soccer club founded by his family.
-
E.
Tom Proulx
Tom Proulx is an American software developer and entrepreneur best known as the co-founder of the financial software company Intuit.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2a177b48190aab7d7857f5bba7b |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f8352a108190b3692a2de3cb4dea |
completed | April 9, 2026, 12:52 a.m. |
Created at: April 6, 2026, 11:39 a.m.