Triple
T11754564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Clockwork Orange |
E279490
|
entity |
| Predicate | containsCharacter |
P5716
|
FINISHED |
| Object |
Georgie
Georgie is one of Alex's fellow teenage delinquents and a member of his violent gang in Anthony Burgess's dystopian novel "A Clockwork Orange."
|
E945082
|
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: Georgie | Statement: [A Clockwork Orange, containsCharacter, Georgie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Georgie Context triple: [A Clockwork Orange, containsCharacter, Georgie]
-
A.
Georgie
Georgie is a personal given name used by Ruth Georgie Erica Schrödinger.
-
B.
Georgie
Georgie is a character from the British romantic comedy film "Chalet Girl," which follows a former skateboarding champion working at an upscale ski resort.
-
C.
Georgina
Georgina is a feminine given name used in various English-speaking and European countries, often considered a variant of Georgia or the feminine form of George.
-
D.
Georgina
Georgina is a lakeside town in Ontario, Canada, known for its recreational waterfront communities and proximity to Lake Simcoe.
-
E.
Georgette
Georgette is a comic servant character in Molière’s play "L’École des femmes," known for her earthy wit and role in highlighting the play’s social and gender tensions.
- 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: Georgie Triple: [A Clockwork Orange, containsCharacter, Georgie]
Generated description
Georgie is one of Alex's fellow teenage delinquents and a member of his violent gang in Anthony Burgess's dystopian novel "A Clockwork Orange."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Georgie Target entity description: Georgie is one of Alex's fellow teenage delinquents and a member of his violent gang in Anthony Burgess's dystopian novel "A Clockwork Orange."
-
A.
Georgie
Georgie is a personal given name used by Ruth Georgie Erica Schrödinger.
-
B.
Georgie
Georgie is a character from the British romantic comedy film "Chalet Girl," which follows a former skateboarding champion working at an upscale ski resort.
-
C.
Georgina
Georgina is a feminine given name used in various English-speaking and European countries, often considered a variant of Georgia or the feminine form of George.
-
D.
Georgina
Georgina is a lakeside town in Ontario, Canada, known for its recreational waterfront communities and proximity to Lake Simcoe.
-
E.
Georgette
Georgette is a comic servant character in Molière’s play "L’École des femmes," known for her earthy wit and role in highlighting the play’s social and gender tensions.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a50b8a14819092a7397d73f0a8e3 |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a21559c819097d0287dd8e2f411 |
completed | April 28, 2026, 2:23 a.m. |
| NEDg | Description generation | batch_69f0319622c48190bee6c906f08c0a8c |
completed | April 28, 2026, 4:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f05ad36e4c8190b7239e5b33713369 |
completed | April 28, 2026, 6:59 a.m. |
Created at: April 8, 2026, 9:41 p.m.