Triple
T15060173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mare Sheehan |
E379603
|
entity |
| Predicate | friend |
P8712
|
FINISHED |
| Object | Lori Ross |
—
|
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: Lori Ross | Statement: [Mare Sheehan, friend, Lori Ross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lori Ross Context triple: [Mare Sheehan, friend, Lori Ross]
-
A.
Lori Ross
chosen
Lori Ross is a character in the crime drama miniseries "Mare of Easttown," known as Mare Sheehan’s close friend whose family becomes entangled in the central mystery.
-
B.
Lori Forte
Lori Forte is a film producer best known for her work on the animated "Ice Age" franchise and other projects at Blue Sky Studios.
-
C.
Lori Martin
Lori Martin was an American actress best known for her role as the teenage daughter in the 1962 psychological thriller film "Cape Fear."
-
D.
Lisa Reisert
Lisa Reisert is the resourceful and determined protagonist of the thriller film "Red Eye," who becomes entangled in a high-stakes assassination plot during a red-eye flight.
-
E.
Wendy Schaal
Wendy Schaal is an American actress and voice actress best known for voicing Francine Smith on the animated television series "American Dad!" and for her roles in various film and TV projects since the 1980s.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee50afc8190bf7b0f4bbe8c60a3 |
completed | April 15, 2026, 12:42 a.m. |
Created at: April 10, 2026, 3:01 a.m.