Triple
T19165468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phil Petrillo |
E469166
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Susan Harris |
—
|
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: Susan Harris | Statement: [Phil Petrillo, createdBy, Susan Harris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Harris Context triple: [Phil Petrillo, createdBy, Susan Harris]
-
A.
Susan Harris
chosen
Susan Harris is an American television writer and producer best known for creating the acclaimed sitcom "The Golden Girls."
-
B.
Susan Harrison
Susan Harrison was an American actress best known for her role in the classic 1957 film noir drama "Sweet Smell of Success."
-
C.
Susan Harrison
Susan Harrison was an American actress best known for her memorable role in the classic "The Twilight Zone" episode "Five Characters in Search of an Exit."
-
D.
Rebecca Harris
Rebecca Harris is a fictional character portrayed by Jennifer Carpenter, best known as the determined FBI agent in the television series "Limitless."
-
E.
Rebecca Harris
Rebecca Harris is an actress known for her role in the television series "Outsiders."
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f15ee064819087f9fd822236298f |
completed | April 20, 2026, 9:26 a.m. |
Created at: April 10, 2026, 12:06 p.m.