Triple
T22768960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 10 Years |
E563201
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Jamie Linden |
—
|
NE NERFINISHED |
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: Jamie Linden | Statement: [10 Years, writer, Jamie Linden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jamie Linden Context triple: [10 Years, writer, Jamie Linden]
-
A.
Jamie Linden
chosen
Jamie Linden is an American screenwriter and film director known for writing movies such as "We Are Marshall," "Dear John," and the financial thriller "Money Monster."
-
B.
Gracie Gold
Gracie Gold is an American figure skater known for being a U.S. national champion and competing in the 2014 Winter Olympics.
-
C.
Sarah Hughes
Sarah Hughes is an American figure skater best known for winning the ladies' singles gold medal at the 2002 Winter Olympics.
-
D.
Beth Heiden
Beth Heiden is an American former speed skater and cyclist who won multiple world titles and an Olympic bronze medal in speed skating before later excelling in competitive cycling.
-
E.
Kimmie Meissner
Kimmie Meissner is an American figure skater who won the 2006 World Championship and is known for her powerful jumping ability and technical skill.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b59c9cc8190a6edd68f3209a672 |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:27 p.m.