Triple
T9565378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dear John |
E230776
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Jamie Linden |
E134614
|
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: Jamie Linden | Statement: [Dear John, screenwriter, Jamie Linden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jamie Linden Context triple: [Dear John, screenwriter, 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.
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.
-
E.
Meryl Davis
Meryl Davis is an American ice dancer and Olympic gold medalist best known for her partnership with Charlie White and their success in international figure skating competitions.
- 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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd996a01b081908e2782f41520f73d |
completed | April 1, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152abb0788190ab2e204d9a082ccf |
completed | April 4, 2026, 6:04 p.m. |
Created at: March 30, 2026, 8:04 p.m.