Triple
T14046613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Another Animal |
E337971
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Shannon Larkin |
—
|
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: Shannon Larkin | Statement: [Another Animal, hasMember, Shannon Larkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shannon Larkin Context triple: [Another Animal, hasMember, Shannon Larkin]
-
A.
Shannon Larkin
chosen
Shannon Larkin is an American drummer best known for his powerful, hard-hitting work with the rock band Godsmack.
-
B.
Shannon Doughton
Shannon Doughton is a musician best known as a principal performer associated with the band Pod.
-
C.
Shannon Dawson
Shannon Dawson is known as one of the children of the late British-American actor and game show host Richard Dawson.
-
D.
Shannon McIntosh
Shannon McIntosh is an American film producer known for her frequent collaborations with Quentin Tarantino, including work on major films such as "Once Upon a Time in Hollywood."
-
E.
Shannon Rutherford
Shannon Rutherford is a main character from the television series "Lost," portrayed as a troubled, self-centered yet vulnerable young woman whose relationship with Sayid Jarrah reveals her deeper emotional complexity.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de312df37081909f45ce3e219af5dc |
completed | April 14, 2026, 12:21 p.m. |
Created at: April 9, 2026, 10:20 p.m.