Triple
T5373612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tar Heels |
E108907
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Heels
Heels is a shortened nickname commonly used to refer to the University of North Carolina Tar Heels athletic teams and their supporters.
|
E515264
|
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: Heels | Statement: [Tar Heels, nickname, Heels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heels Context triple: [Tar Heels, nickname, Heels]
-
A.
High Heels
"High Heels" is a song featured on the album or release identified as B7.
-
B.
High Heels
High Heels is a 1991 Spanish melodramatic film by Pedro Almodóvar that explores complex mother-daughter relationships, love, and identity with his signature blend of dark humor and vivid style.
-
C.
Sex Is in the Heel
"Sex Is in the Heel" is a showstopping musical number from the Broadway musical *Kinky Boots*, known for its upbeat celebration of self-expression and glamorous footwear.
-
D.
White Shoes
"White Shoes" is a 1983 country album by Emmylou Harris that blends traditional country with pop and rock influences.
-
E.
Death in High Heels
Death in High Heels is a classic 1941 British mystery novel by Christianna Brand, introducing Inspector Charlesworth as he investigates a murder in a London fashion house.
- 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: Heels Triple: [Tar Heels, nickname, Heels]
Generated description
Heels is a shortened nickname commonly used to refer to the University of North Carolina Tar Heels athletic teams and their supporters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heels Target entity description: Heels is a shortened nickname commonly used to refer to the University of North Carolina Tar Heels athletic teams and their supporters.
-
A.
High Heels
"High Heels" is a song featured on the album or release identified as B7.
-
B.
High Heels
High Heels is a 1991 Spanish melodramatic film by Pedro Almodóvar that explores complex mother-daughter relationships, love, and identity with his signature blend of dark humor and vivid style.
-
C.
Sex Is in the Heel
"Sex Is in the Heel" is a showstopping musical number from the Broadway musical *Kinky Boots*, known for its upbeat celebration of self-expression and glamorous footwear.
-
D.
White Shoes
"White Shoes" is a 1983 country album by Emmylou Harris that blends traditional country with pop and rock influences.
-
E.
Death in High Heels
Death in High Heels is a classic 1941 British mystery novel by Christianna Brand, introducing Inspector Charlesworth as he investigates a murder in a London fashion house.
- 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_69bd440c77948190aad2a5f39b7b80f5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd86abc1e88190ad08279c3bf238e5 |
completed | March 20, 2026, 5:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf293ba6a08190bcbecf465e4e5881 |
completed | March 21, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_69bf29f4c56481908d3f83ec6e7ba96a |
completed | March 21, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf2ab19a50819098ef5a611daa8cd6 |
completed | March 21, 2026, 11:33 p.m. |
Created at: March 20, 2026, 2:03 p.m.