Triple
T20119540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Setting the Woods on Fire |
E490564
|
entity |
| Predicate | hasContributor |
P4244
|
FINISHED |
| Object | Terri Moeller |
—
|
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: Terri Moeller | Statement: [Setting the Woods on Fire, hasContributor, Terri Moeller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terri Moeller Context triple: [Setting the Woods on Fire, hasContributor, Terri Moeller]
-
A.
Terri Moeller
chosen
Terri Moeller is an American drummer and singer best known for her long-time role in the alternative rock band The Walkabouts.
-
B.
Melinda Mullins
Melinda Mullins is an American actress best known for her role on the 1990s AMC television series "Remember WENN."
-
C.
Linda Voss
Linda Voss is the courageous American legal secretary-turned-spy who infiltrates Nazi Germany in the World War II espionage drama "Shining Through."
-
D.
Melissa Sasse
Melissa Sasse is the wife of American academic and former U.S. Senator Ben Sasse and a longtime partner in his political and professional life.
-
E.
Karen Stottlemeyer
Karen Stottlemeyer is the estranged wife of Captain Leland Stottlemeyer in the television series "Monk," often appearing in storylines that explore his personal and emotional life.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6673cfaac81909d6216f3e37c2439 |
completed | April 20, 2026, 5:49 p.m. |
Created at: April 11, 2026, 11:30 p.m.