Triple
T21321800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Errol Taggart |
E525635
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Phantom of Paris |
—
|
NE NERFINISHED |
How this triple was built (3 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 Phantom of Paris | Statement: [Errol Taggart, notableWork, The Phantom of Paris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Phantom of Paris Context triple: [Errol Taggart, notableWork, The Phantom of Paris]
-
A.
Fantom Opera
Fantom Opera is a high-performance, EVM-compatible blockchain network designed for fast, low-cost smart contract execution and decentralized applications.
-
B.
The Phantom of the Opera
The Phantom of the Opera is a famous gothic novel-turned-musical about a mysterious, disfigured musical genius who haunts a grand Paris opera house and becomes obsessively infatuated with a young soprano.
-
C.
The Phantom of Manhattan
The Phantom of Manhattan is a novel by Frederick Forsyth that serves as an unofficial sequel to Gaston Leroux’s The Phantom of the Opera, continuing the story of the Phantom in early 20th-century New York.
-
D.
Les Mystères de Paris
Les Mystères de Paris is a French film adaptation of Eugène Sue’s classic 19th-century serialized novel, known for its melodramatic depiction of Parisian underworld life.
-
E.
The Phantom of Liberty
The Phantom of Liberty is a 1974 surrealist film by Luis Buñuel that satirically subverts social conventions through a series of absurd, loosely connected vignettes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Phantom of Paris Target entity description: The Phantom of Paris is a 1931 American pre-Code mystery film, based on a Gaston Leroux story, about a magician who becomes entangled in a murder case.
-
A.
Fantom Opera
Fantom Opera is a high-performance, EVM-compatible blockchain network designed for fast, low-cost smart contract execution and decentralized applications.
-
B.
The Phantom of the Opera
The Phantom of the Opera is a famous gothic novel-turned-musical about a mysterious, disfigured musical genius who haunts a grand Paris opera house and becomes obsessively infatuated with a young soprano.
-
C.
The Phantom of Manhattan
The Phantom of Manhattan is a novel by Frederick Forsyth that serves as an unofficial sequel to Gaston Leroux’s The Phantom of the Opera, continuing the story of the Phantom in early 20th-century New York.
-
D.
Les Mystères de Paris
Les Mystères de Paris is a French film adaptation of Eugène Sue’s classic 19th-century serialized novel, known for its melodramatic depiction of Parisian underworld life.
-
E.
The Phantom of Liberty
The Phantom of Liberty is a 1974 surrealist film by Luis Buñuel that satirically subverts social conventions through a series of absurd, loosely connected vignettes.
- F. None of above. chosen
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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e77ed2640c8190a81b087e2c49c500 |
completed | April 21, 2026, 1:42 p.m. |
Created at: April 16, 2026, 4:40 p.m.