Triple
T1880541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria’s Secret |
E39841
|
entity |
| Predicate | hasSubBrand |
P6092
|
FINISHED |
| Object |
PINK
PINK is a youthful, college-age-focused lingerie and loungewear brand known for its playful, colorful designs and casual lifestyle apparel.
|
E210343
|
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: PINK | Statement: [Victoria’s Secret, hasSubBrand, PINK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PINK Context triple: [Victoria’s Secret, hasSubBrand, PINK]
-
A.
Pink
Pink is an American pop-rock singer and songwriter known for her powerful vocals, acrobatic live performances, and hits such as "Just Give Me a Reason" and "So What."
-
B.
Crystal
Crystal is a feminine given name often associated with clarity and beauty, derived from the English word for clear, transparent mineral or glass.
-
C.
Crystal
Crystal is the surname of American actor, comedian, and filmmaker Billy Crystal, known for his work in film, television, and stand-up comedy.
-
D.
White
White is a common English surname borne by numerous notable individuals across politics, arts, sciences, and other fields.
-
E.
Blacker
Blacker is a comparative form of the color term "black," indicating a greater degree of darkness or blackness.
- 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: PINK Triple: [Victoria’s Secret, hasSubBrand, PINK]
Generated description
PINK is a youthful, college-age-focused lingerie and loungewear brand known for its playful, colorful designs and casual lifestyle apparel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PINK Target entity description: PINK is a youthful, college-age-focused lingerie and loungewear brand known for its playful, colorful designs and casual lifestyle apparel.
-
A.
Pink
Pink is an American pop-rock singer and songwriter known for her powerful vocals, acrobatic live performances, and hits such as "Just Give Me a Reason" and "So What."
-
B.
Crystal
Crystal is a feminine given name often associated with clarity and beauty, derived from the English word for clear, transparent mineral or glass.
-
C.
Crystal
Crystal is the surname of American actor, comedian, and filmmaker Billy Crystal, known for his work in film, television, and stand-up comedy.
-
D.
White
White is a common English surname borne by numerous notable individuals across politics, arts, sciences, and other fields.
-
E.
Blacker
Blacker is a comparative form of the color term "black," indicating a greater degree of darkness or blackness.
- 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_69a88633e4fc8190b7eb40463e048ec5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0fa3d388190993073ffb0f60a84 |
completed | March 7, 2026, 5 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf5c55e081909fc6912e1283a73a |
completed | March 8, 2026, 8:43 p.m. |
| NEDg | Description generation | batch_69ade089c3848190a730957799b08993 |
completed | March 8, 2026, 8:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ade14bd7e48190bf7d4832a4d46992 |
completed | March 8, 2026, 8:51 p.m. |
Created at: March 4, 2026, 7:34 p.m.