Triple
T14359145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaolin vs. Wu-Tang |
E356049
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Molasses
Molasses is a thick, dark syrup produced during the sugar-refining process, commonly used as a sweetener and flavoring in cooking and baking.
|
E1094793
|
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: Molasses | Statement: [Shaolin vs. Wu-Tang, hasPart, Molasses]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molasses Context triple: [Shaolin vs. Wu-Tang, hasPart, Molasses]
-
A.
Honey Molasses
"Honey Molasses" is a smooth, neo-soul track by Jill Scott known for its sensual lyrics and mellow, jazz-inflected production.
-
B.
Molasses to Rum
"Molasses to Rum" is a powerful and provocative song from the musical 1776 that exposes the hypocrisy of Northern delegates by detailing their complicity in the transatlantic slave trade.
-
C.
Sakkarin
Sakkarin is the stage name used by British singer, songwriter, and record producer Jonathan King.
-
D.
Caramel
"Caramel" is a mellow, jazz-tinged song by American singer-songwriter Suzanne Vega, known for its sultry mood and appearance on the soundtrack of the film "The Truth About Cats & Dogs."
-
E.
Marmelade
Marmelade is a commune in Haiti’s Artibonite Department, known for its mountainous terrain and agricultural production.
- 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: Molasses Triple: [Shaolin vs. Wu-Tang, hasPart, Molasses]
Generated description
Molasses is a thick, dark syrup produced during the sugar-refining process, commonly used as a sweetener and flavoring in cooking and baking.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Molasses Target entity description: Molasses is a thick, dark syrup produced during the sugar-refining process, commonly used as a sweetener and flavoring in cooking and baking.
-
A.
Honey Molasses
"Honey Molasses" is a smooth, neo-soul track by Jill Scott known for its sensual lyrics and mellow, jazz-inflected production.
-
B.
Molasses to Rum
"Molasses to Rum" is a powerful and provocative song from the musical 1776 that exposes the hypocrisy of Northern delegates by detailing their complicity in the transatlantic slave trade.
-
C.
Sakkarin
Sakkarin is the stage name used by British singer, songwriter, and record producer Jonathan King.
-
D.
Caramel
"Caramel" is a mellow, jazz-tinged song by American singer-songwriter Suzanne Vega, known for its sultry mood and appearance on the soundtrack of the film "The Truth About Cats & Dogs."
-
E.
Marmelade
Marmelade is a commune in Haiti’s Artibonite Department, known for its mountainous terrain and agricultural production.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f52ca7881908704eef20228aed3 |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c48dd408190ac45ad4ca6f610c3 |
completed | May 8, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69fd4cf6e6788190a98479ed3b615a4e |
completed | May 8, 2026, 2:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4d6dd7c481908f53f8902ee714dd |
completed | May 8, 2026, 2:41 a.m. |
Created at: April 10, 2026, 1:15 a.m.