Triple
T21164418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pam Ferris |
E521520
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Raven |
—
|
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: The Raven | Statement: [Pam Ferris, notableWork, The Raven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Raven Context triple: [Pam Ferris, notableWork, The Raven]
-
A.
The Raven
"The Raven" is a narrative poem by Edgar Allan Poe, renowned for its melancholic atmosphere, musical language, and exploration of grief and madness as a mysterious raven visits a grieving man.
-
B.
The Raven
chosen
"The Raven" is a 2012 psychological crime thriller film loosely inspired by Edgar Allan Poe’s life and works, in which Poe helps hunt a serial killer who imitates murders from his stories.
-
C.
Poe the Raven
Poe the Raven is the official mascot of the NFL's Baltimore Ravens, typically depicted as a large, energetic raven that entertains fans at games and team events.
-
D.
Face the Raven
Face the Raven is a 2015 Doctor Who episode notable for depicting the dramatic and emotional departure of companion Clara Oswald.
-
E.
Poeessa
Poeessa was an ancient Greek city located on the island of Ceos (Keos) in the Aegean Sea.
- 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_69e0b50d1ea481909c07e63c3ead9316 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7270e15bc81908d609198e573040e |
completed | April 21, 2026, 7:28 a.m. |
Created at: April 16, 2026, 2:59 p.m.