Triple
T20398172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Ticket to Tomahawk |
E500261
|
entity |
| Predicate | MarilynMonroeRole |
P139982
|
FINISHED |
| Object | Clara |
—
|
NE NERFINISHED |
How this triple was built (4 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: Clara | Statement: [A Ticket to Tomahawk, MarilynMonroeRole, Clara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clara Context triple: [A Ticket to Tomahawk, MarilynMonroeRole, Clara]
-
A.
Clara
Clara is the young heroine of Tchaikovsky’s ballet "The Nutcracker," whose magical Christmas Eve adventure begins when her toy nutcracker comes to life.
-
B.
Clara
Clara is the central female protagonist of Pedro Almodóvar’s 1997 Spanish drama film "Live Flesh," around whom much of the film’s emotional and narrative tension revolves.
-
C.
Clara
Clara is a feminine given name of Latin origin, derived from "clarus" meaning "bright" or "famous."
-
D.
Clara
Clara is a character in the American folk opera "Porgy and Bess," known as a young mother whose lullaby "Summertime" is one of the work’s most famous songs.
-
E.
Clara
Clara is a small Irish town located in County Offaly, known historically for its milling industry and proximity to the River Brosna.
- 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: Clara Target entity description: Clara is the character played by Marilyn Monroe in the 1950 Western comedy film "A Ticket to Tomahawk."
-
A.
Clara
Clara is the central female protagonist of Pedro Almodóvar’s 1997 Spanish drama film "Live Flesh," around whom much of the film’s emotional and narrative tension revolves.
-
B.
Clara
Clara is a character in the American folk opera "Porgy and Bess," known as a young mother whose lullaby "Summertime" is one of the work’s most famous songs.
-
C.
Clara
Clara is the young heroine of Tchaikovsky’s ballet "The Nutcracker," whose magical Christmas Eve adventure begins when her toy nutcracker comes to life.
-
D.
Clara
Clara is a fictional child character from Edward Gorey’s darkly comic alphabet book "The Gashlycrumb Tinies," known for its macabre depictions of children’s deaths.
-
E.
Clara
Clara is a feminine given name of Latin origin, derived from "clarus" meaning "bright" or "famous."
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MarilynMonroeRole Context triple: [A Ticket to Tomahawk, MarilynMonroeRole, Clara]
-
A.
MarilynMonroeRoleType
Indicates the type or category of role associated with Marilyn Monroe in a given context.
-
B.
hasMarleneDietrichRoleType
Indicates that an entity has a specific type or category of role associated with Marlene Dietrich.
-
C.
barbaraStanwyckRole
Indicates that the subject is a role or character portrayed by Barbara Stanwyck.
-
D.
isMarilyn
Indicates that the subject is (or is being identified as) Marilyn.
-
E.
hasElizabethTaylorRole
Indicates that an entity has a role that was originally played by, associated with, or famously portrayed by Elizabeth Taylor.
- F. None of above. chosen
Provenance (4 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6798c2b28819092fab93f01218cde |
completed | April 20, 2026, 7:07 p.m. |
| PD | Predicate disambiguation | batch_69e5765d7cb48190adec18d6d1e3d263 |
completed | April 20, 2026, 12:42 a.m. |
| PDg | Predicate description generation | batch_69e58d7481508190a87c8b88f9df9879 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:29 a.m.