Triple
T8723105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Malmberg |
E207059
|
entity |
| Predicate | edited |
P1932
|
FINISHED |
| Object | A Faster Horse |
E752948
|
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: A Faster Horse | Statement: [Jeff Malmberg, edited, A Faster Horse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A Faster Horse Context triple: [Jeff Malmberg, edited, A Faster Horse]
-
A.
A Faster Horse
chosen
A Faster Horse is a documentary film that explores the history, design, and cultural impact of the Ford Mustang.
-
B.
The Race
The Race is a narrow, fast-moving tidal strait at the eastern end of Long Island Sound, known for its strong currents and challenging navigation conditions.
-
C.
The Race
The Race is the historic annual rowing regatta between Harvard and Yale Universities, renowned as the oldest intercollegiate sporting event in the United States.
-
D.
Darkhorse
Darkhorse is the storied nickname of the U.S. Marine Corps’ 3rd Battalion, 5th Marines, renowned for its combat service and battlefield sacrifices.
-
E.
Fresh Horses
Fresh Horses is a 1988 romantic drama film starring Molly Ringwald and Andrew McCarthy about a wealthy college student drawn into a complicated relationship with a mysterious young woman from a poorer background.
- 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d0791208190b043332247372d7b |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf516d9d9081909230441dd349dc9e |
completed | April 3, 2026, 5:34 a.m. |
Created at: March 30, 2026, 6:36 p.m.