Triple
T23443209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharon Horgan |
E565457
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | Merman |
—
|
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: Merman | Statement: [Sharon Horgan, founded, Merman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merman Context triple: [Sharon Horgan, founded, Merman]
-
A.
Merman
chosen
Merman is a British television production company co-founded by Sharon Horgan, known for creating acclaimed comedy and drama series.
-
B.
Mermaid Man
Mermaid Man is a retired, elderly superhero parody in the animated series "SpongeBob SquarePants," known for his aquatic-themed powers, exaggerated heroics, and partnership with his sidekick Barnacle Boy.
-
C.
Mer-Man
Mer-Man is an aquatic villain from the Masters of the Universe franchise, known as the ocean-dwelling ally of Skeletor who commands sea creatures and rules underwater domains.
-
D.
Gill-man
Gill-man is the iconic amphibious humanoid monster from the classic 1954 Universal horror film "Creature from the Black Lagoon."
-
E.
Mermaid
"Mermaid" is a poetry collection by British poet Christopher Reid, noted for its lyrical exploration of love, loss, and memory.
- 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a64654e88190b530958b27b32412 |
completed | April 29, 2026, 6:33 a.m. |
Created at: April 17, 2026, 5:51 p.m.