Triple
T20352563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alonzo Mosely |
E496051
|
entity |
| Predicate | interactsWith |
P3970
|
FINISHED |
| Object | Jack Walsh |
—
|
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: Jack Walsh | Statement: [Alonzo Mosely, interactsWith, Jack Walsh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Walsh Context triple: [Alonzo Mosely, interactsWith, Jack Walsh]
-
A.
Jack Walsh
chosen
Jack Walsh is the tough, wisecracking bounty hunter portrayed by Robert De Niro in the action-comedy film "Midnight Run."
-
B.
Jack Walsh
Jack Walsh is a central character in the 1986 teen romantic comedy-drama film "Pretty in Pink," which explores high school social cliques and class differences.
-
C.
Greg Walsh
Greg Walsh is a music producer best known for his work on Tina Turner’s landmark album "Private Dancer."
-
D.
Greg Walsh
Greg Walsh is the optimistic, well-meaning but often hapless news producer who serves as the central protagonist of the sitcom "Great News."
-
E.
Brad Walsh
Brad Walsh is a television producer and writer best known for his work as an executive producer on the comedy series "Ted."
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67850ace48190b19aff5780fef7e8 |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:25 a.m.