Triple
T2784819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unilever |
E61784
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
Comfort
Comfort is a fabric conditioner brand known for providing softness and long-lasting fragrance to laundry.
|
E297564
|
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: Comfort | Statement: [Unilever, hasBrand, Comfort]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Comfort Context triple: [Unilever, hasBrand, Comfort]
-
A.
Comfort+
Comfort+ is Delta Air Lines’ extra-legroom economy cabin offering enhanced comfort and amenities compared to standard Main Cabin seating.
-
B.
Assurance
"Assurance" is a popular Afrobeats love song by Nigerian artist Davido, widely recognized for its romantic theme and cultural impact across Africa.
-
C.
Relax
"Relax" is a 1983 synth-pop and dance single by British band Frankie Goes to Hollywood, notorious for its sexually charged lyrics, controversial music video, and eventual status as an iconic 1980s hit.
-
D.
RELAX
RELAX is an early XML schema language that influenced the design of RELAX NG for defining and validating the structure of XML documents.
-
E.
Consolation
Consolation is a follow-up work that continues and develops the themes and narrative established in The Golden Age.
- 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: Comfort Triple: [Unilever, hasBrand, Comfort]
Generated description
Comfort is a fabric conditioner brand known for providing softness and long-lasting fragrance to laundry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Comfort Target entity description: Comfort is a fabric conditioner brand known for providing softness and long-lasting fragrance to laundry.
-
A.
Comfort+
Comfort+ is Delta Air Lines’ extra-legroom economy cabin offering enhanced comfort and amenities compared to standard Main Cabin seating.
-
B.
Assurance
"Assurance" is a popular Afrobeats love song by Nigerian artist Davido, widely recognized for its romantic theme and cultural impact across Africa.
-
C.
Relax
"Relax" is a 1983 synth-pop and dance single by British band Frankie Goes to Hollywood, notorious for its sexually charged lyrics, controversial music video, and eventual status as an iconic 1980s hit.
-
D.
RELAX
RELAX is an early XML schema language that influenced the design of RELAX NG for defining and validating the structure of XML documents.
-
E.
Consolation
Consolation is a follow-up work that continues and develops the themes and narrative established in The Golden Age.
- 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_69ab4b7e43c48190997b8fc8fb1663ab |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddaf223c8190959bb0b336e5b7c0 |
completed | March 7, 2026, 8:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc0629e8c81909b55d9838e681ba2 |
completed | March 10, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69afc15513f48190a22f83571be2e0bd |
completed | March 10, 2026, 6:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc1c9440c8190abf9dc063109af45 |
completed | March 10, 2026, 7:01 a.m. |
Created at: March 6, 2026, 9:57 p.m.