Triple
T7560550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Color of Friendship |
E178781
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Penny Johnson |
E673642
|
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: Penny Johnson | Statement: [The Color of Friendship, castMember, Penny Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Penny Johnson Context triple: [The Color of Friendship, castMember, Penny Johnson]
-
A.
Penny Johnson
chosen
Penny Johnson is an American actress best known for her roles on television series such as "24," "Star Trek: Deep Space Nine," and "The Orville."
-
B.
Penny Vick
Penny Vick is known as the wife of William Calley, the former U.S. Army officer convicted for his role in the My Lai Massacre during the Vietnam War.
-
C.
Peggy Johnson
Peggy Johnson was the second wife of famed American automobile executive Lee Iacocca.
-
D.
Penny Fleck
Penny Fleck is Arthur Fleck’s mentally ill, delusional mother in the 2019 film "Joker," whose troubled past and neglectful parenting significantly shape his descent into madness.
-
E.
Shelly Johnson
Shelly Johnson is an American cinematographer known for his work on major feature films and television projects.
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8dd96488190b4cca25ae8f7f95c |
completed | March 27, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8683978b48190971b4c38fd83d3cc |
completed | March 28, 2026, 11:46 p.m. |
Created at: March 27, 2026, 3:50 p.m.