Triple
T11669456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Raven |
E277338
|
entity |
| Predicate | hasAlias |
P455
|
FINISHED |
| Object | The Red Raven |
E277338
|
NE FINISHED |
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 Red Raven | Statement: [Red Raven, hasAlias, The Red Raven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Red Raven Context triple: [Red Raven, hasAlias, The Red Raven]
-
A.
Red Raven
chosen
Red Raven is a Marvel Comics superhero known for his avian-themed abilities and association with the World War II-era team the Invaders.
-
B.
The Redhunter
The Redhunter is a Cold War espionage novel by William F. Buckley Jr. featuring CIA agent Blackford Oakes in a politically charged thriller.
-
C.
The Red Cape
The Red Cape is an 1870–1871 painting by Claude Monet that portrays his wife Camille Monet standing at a snow-covered window, notable for its vivid color contrasts and atmospheric depiction of winter light.
-
D.
The Red Shadow
The Red Shadow is the masked, romantic desert bandit alter ego of a French officer in the 1929 musical film "The Desert Song."
-
E.
The Dark Horse
The Dark Horse is a critically acclaimed 2014 New Zealand drama film about a troubled former chess prodigy who finds purpose mentoring underprivileged youth.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a440d8a481909a13c97813408bc8 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef13c3ea648190ae18cd2869be74ad |
completed | April 27, 2026, 7:44 a.m. |
Created at: April 8, 2026, 9:39 p.m.