Triple
T12451768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UL |
E297548
|
entity |
| Predicate | underlyingCompanyOwnsBrand |
P6745
|
FINISHED |
| Object | Comfort |
E297564
|
NE FINISHED |
How this triple was built (2 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: [UL, underlyingCompanyOwnsBrand, Comfort]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Comfort Context triple: [UL, underlyingCompanyOwnsBrand, Comfort]
-
A.
Comfort
chosen
Comfort is a fabric conditioner brand known for providing softness and long-lasting fragrance to laundry.
-
B.
Comfortable
"Comfortable" is a mellow, acoustic-driven pop song by John Mayer that appears on his debut studio album "Room for Squares."
-
C.
Conforto
Conforto is the surname of Michael Conforto, an American professional baseball outfielder known for his time with the New York Mets and San Francisco Giants.
-
D.
Comfort+
Comfort+ is Delta Air Lines’ extra-legroom economy cabin offering enhanced comfort and amenities compared to standard Main Cabin seating.
-
E.
Assurance
"Assurance" is a popular Afrobeats love song by Nigerian artist Davido, widely recognized for its romantic theme and cultural impact across Africa.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541ace208190a5149b6f18fa196d |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b9f4dd08190b1d62b03d68cc8a6 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:56 p.m.