Triple
T19872288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Number One with a Bullet |
E477547
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Barbarella Catton
Barbarella Catton is an actress known for her role in the film "Number One with a Bullet."
|
E1399747
|
NE FINISHED |
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: Barbarella Catton | Statement: [Number One with a Bullet, hasCastMember, Barbarella Catton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barbarella Catton Context triple: [Number One with a Bullet, hasCastMember, Barbarella Catton]
-
A.
Barbara
Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
-
B.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
C.
Barbara Havelone
Barbara Havelone is best known as the wife of American actor Lee Van Cleef, a prominent figure in classic Western films.
-
D.
Brigitte
Brigitte is a French former teacher best known as the wife of Emmanuel Macron, the President of France.
-
E.
Broomhilda von Shaft
Broomhilda von Shaft is the enslaved wife of Django and the central damsel-in-distress figure whose rescue drives the plot of Quentin Tarantino’s film "Django Unchained."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Barbarella Catton Triple: [Number One with a Bullet, hasCastMember, Barbarella Catton]
Generated description
Barbarella Catton is an actress known for her role in the film "Number One with a Bullet."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barbarella Catton Target entity description: Barbarella Catton is an actress known for her role in the film "Number One with a Bullet."
-
A.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
B.
Barbara
Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
-
C.
Barbara Havelone
Barbara Havelone is best known as the wife of American actor Lee Van Cleef, a prominent figure in classic Western films.
-
D.
Brigitte
Brigitte is a French former teacher best known as the wife of Emmanuel Macron, the President of France.
-
E.
Broomhilda von Shaft
Broomhilda von Shaft is the enslaved wife of Django and the central damsel-in-distress figure whose rescue drives the plot of Quentin Tarantino’s film "Django Unchained."
- F. None of above. chosen
Provenance (5 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658d826f88190be04188997952d1b |
completed | April 20, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07dbc44f748190a65d88890960d90b |
completed | May 16, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_6a07dc854a0c8190b0da81ead6b9cfc1 |
completed | May 16, 2026, 2:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07dd45e93c8190b14c23487398a8ec |
completed | May 16, 2026, 2:58 a.m. |
Created at: April 10, 2026, 1:51 p.m.