Triple
T15191130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thierry Mugler |
E363011
|
entity |
| Predicate | notableFor |
P22
|
FINISHED |
| Object |
Angel fragrance
Angel fragrance is a groundbreaking gourmand perfume by Thierry Mugler, famous for its sweet, candy-like scent profile and iconic star-shaped bottle.
|
E1142000
|
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: Angel fragrance | Statement: [Thierry Mugler, notableFor, Angel fragrance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angel fragrance Context triple: [Thierry Mugler, notableFor, Angel fragrance]
-
A.
angel
An angel is a supernatural being or messenger of God found in various religious traditions, often depicted as a powerful, benevolent spirit that interacts with humans.
-
B.
Angel Soft
Angel Soft is a popular American toilet paper brand known for its balance of softness, strength, and affordability.
-
C.
Angel
"Angel" is a song by the American rock band Aerosmith, best known as a power ballad from their 1987 album *Permanent Vacation*.
-
D.
Angel
An angel is a spiritual being found in various religious traditions, typically depicted as a messenger or servant of the divine.
-
E.
Angel
Angel is a young, genetically engineered winged girl with powerful psychic abilities in James Patterson's Maximum Ride series.
- 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: Angel fragrance Triple: [Thierry Mugler, notableFor, Angel fragrance]
Generated description
Angel fragrance is a groundbreaking gourmand perfume by Thierry Mugler, famous for its sweet, candy-like scent profile and iconic star-shaped bottle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Angel fragrance Target entity description: Angel fragrance is a groundbreaking gourmand perfume by Thierry Mugler, famous for its sweet, candy-like scent profile and iconic star-shaped bottle.
-
A.
angel
An angel is a supernatural being or messenger of God found in various religious traditions, often depicted as a powerful, benevolent spirit that interacts with humans.
-
B.
Angel Soft
Angel Soft is a popular American toilet paper brand known for its balance of softness, strength, and affordability.
-
C.
Angel
"Angel" is a song by the American rock band Aerosmith, best known as a power ballad from their 1987 album *Permanent Vacation*.
-
D.
Angel
An angel is a spiritual being found in various religious traditions, typically depicted as a messenger or servant of the divine.
-
E.
Angel
Angel is a young, genetically engineered winged girl with powerful psychic abilities in James Patterson's Maximum Ride series.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067d55ac8190b7a7fce36e6ddf3c |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec8995bb08190bd7f0be0a0fcf1e7 |
completed | May 9, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_69feca98251081909c07f7ba4a863ad8 |
completed | May 9, 2026, 5:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fecb1cc7d08190a77e8a444334b688 |
completed | May 9, 2026, 5:50 a.m. |
Created at: April 10, 2026, 3:10 a.m.