Triple
T20620608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flicka |
E506687
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Howard McLaughlin |
—
|
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: Howard McLaughlin | Statement: [Flicka, character, Howard McLaughlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howard McLaughlin Context triple: [Flicka, character, Howard McLaughlin]
-
A.
Howard McLaughlin
chosen
Howard McLaughlin is the young protagonist of the 1941 children's novel "My Friend Flicka," whose coming-of-age story centers on his bond with a spirited horse.
-
B.
Ed McLaughlin
Ed McLaughlin is an American college athletics administrator best known as the athletic director at Virginia Commonwealth University (VCU).
-
C.
Stuart E. McGowan
Stuart E. McGowan was an American screenwriter active during Hollywood’s classic era, known for his work on Western films.
-
D.
Philip Keenan
Philip Keenan was an American astronomer best known for co-developing the Morgan–Keenan (MK) stellar classification system that remains a standard in astrophysics.
-
E.
Ed McCauley
Ed McCauley is a Canadian academic and research leader who serves as president of the University of Calgary.
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe19ca481908c896bec49a025cd |
completed | April 20, 2026, 10:42 p.m. |
Created at: April 16, 2026, 11:42 a.m.