Triple
T22573908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Happy Christmas |
E544343
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Jenny
Jenny is a character appearing in the festive-themed work "Happy Christmas."
|
E1546052
|
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: Jenny | Statement: [Happy Christmas, featuresCharacter, Jenny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jenny Context triple: [Happy Christmas, featuresCharacter, Jenny]
-
A.
Jenny
Jenny is a character from the traditional Scottish song "Comin' Thro' the Rye," often depicted as a carefree young woman associated with themes of love and rural life.
-
B.
Jenny
Jenny is the main character of the story "Mosquitoes," around whom the narrative and its central events revolve.
-
C.
Jenny
"Jenny" is a television series associated with Heather Dubrow, known for featuring her in a prominent role.
-
D.
Jenny
Jenny Saville is a contemporary British painter renowned for her large-scale, unflinching depictions of the human body that challenge conventional ideals of beauty.
-
E.
Jenny
"Jenny" is a pop-rock song by American band The Click Five, known for its catchy melody and themes of unrequited love.
- 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: Jenny Triple: [Happy Christmas, featuresCharacter, Jenny]
Generated description
Jenny is a character appearing in the festive-themed work "Happy Christmas."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jenny Target entity description: Jenny is a character appearing in the festive-themed work "Happy Christmas."
-
A.
Jenny
Jenny is a character from the traditional Scottish song "Comin' Thro' the Rye," often depicted as a carefree young woman associated with themes of love and rural life.
-
B.
Jenny
"Jenny" is a television series associated with Heather Dubrow, known for featuring her in a prominent role.
-
C.
Jenny
Jenny is a central fictional character in the Australian television drama series "The Newsreader," which follows the turbulent personal and professional lives of broadcast journalists in the 1980s.
-
D.
Jenny
Jenny is a central character in the 2004 teen comedy film "EuroTrip," which follows a group of friends on a chaotic adventure across Europe.
-
E.
Jenny
Jenny is a central character in Patrick Hamilton's novel "Twenty Thousand Streets Under the Sky," known as a young barmaid whose beauty and elusive affections profoundly affect the protagonist.
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fea683c81908fbf9f171eed3341 |
completed | April 29, 2026, 1:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b4def94e88190ae90b1bfb649676c |
completed | May 18, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_6a0b50a38c6c8190bc8f9b9390bddbea |
completed | May 18, 2026, 5:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b5186819081909309126fa9169677 |
completed | May 18, 2026, 5:51 p.m. |
Created at: April 16, 2026, 8:53 p.m.