Triple
T18194120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Jester Race |
E435612
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
December Flower
December Flower is a song by the Swedish melodic death metal band In Flames from their influential 1996 album *The Jester Race*.
|
E1311246
|
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: December Flower | Statement: [The Jester Race, hasPart, December Flower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: December Flower Context triple: [The Jester Race, hasPart, December Flower]
-
A.
Flowers
"Flowers" is a 2023 pop single by Miley Cyrus that became a global hit for its empowering lyrics about self-love and independence.
-
B.
Flowers
"Flowers" is a poignant song from the musical *Hadestown* that explores themes of love, loss, and memory through Eurydice’s perspective.
-
C.
Flowers
Flowers is a common English surname shared by various notable individuals across fields such as sports, music, and politics.
-
D.
Flowers
Flowers is a dark British comedy-drama television series that explores the dysfunctional lives of the eccentric Flowers family.
-
E.
Roses in December
Roses in December is the autobiography of Indian jurist and diplomat M. C. Chagla, reflecting on his life, career, and public service.
- 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: December Flower Triple: [The Jester Race, hasPart, December Flower]
Generated description
December Flower is a song by the Swedish melodic death metal band In Flames from their influential 1996 album *The Jester Race*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: December Flower Target entity description: December Flower is a song by the Swedish melodic death metal band In Flames from their influential 1996 album *The Jester Race*.
-
A.
Flowers
Flowers is a common English surname shared by various notable individuals across fields such as sports, music, and politics.
-
B.
Flowers
"Flowers" is a 2023 pop single by Miley Cyrus that became a global hit for its empowering lyrics about self-love and independence.
-
C.
Flowers
"Flowers" is a poignant song from the musical *Hadestown* that explores themes of love, loss, and memory through Eurydice’s perspective.
-
D.
Flowers
Flowers is a dark British comedy-drama television series that explores the dysfunctional lives of the eccentric Flowers family.
-
E.
Roses in December
Roses in December is the autobiography of Indian jurist and diplomat M. C. Chagla, reflecting on his life, career, and public service.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d1eb1c81908c20b6d15e9c4e8e |
completed | April 19, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03980b347c819095efe75ae5ceeebb |
completed | May 12, 2026, 9:13 p.m. |
| NEDg | Description generation | batch_6a0399521adc81908b3496c0168afe5d |
completed | May 12, 2026, 9:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a039a1d66c081908ee33c6d503b0dad |
completed | May 12, 2026, 9:22 p.m. |
Created at: April 10, 2026, 10:31 a.m.