Triple
T9565042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How I Met Your Mother |
E230769
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Marshall Eriksen |
E613093
|
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: Marshall Eriksen | Statement: [How I Met Your Mother, mainCharacter, Marshall Eriksen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marshall Eriksen Context triple: [How I Met Your Mother, mainCharacter, Marshall Eriksen]
-
A.
Marshall Eriksen
chosen
Marshall Eriksen is a kind-hearted, idealistic lawyer and devoted friend from the sitcom "How I Met Your Mother," known for his goofy humor and deep love for his wife Lily.
-
B.
Carl Erickson
Carl Erickson was an American screenwriter active in early 20th-century Hollywood, known for his work on several studio films during the 1930s.
-
C.
John Eisendrath
John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
-
D.
Scott E. Denmark
Scott E. Denmark is an American organic chemist renowned for his pioneering work in synthetic methodology and organosilicon chemistry.
-
E.
Michael Christensen
Michael Christensen is a Danish professional racing driver known for competing in international sports car and endurance racing events, including the FIA World Endurance Championship.
- 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_69ca847e53a88190a60eed7e02257f10 |
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_69d18214e1cc8190a66582a1af26cac3 |
completed | April 4, 2026, 9:26 p.m. |
Created at: March 30, 2026, 8:04 p.m.