Triple
T5465905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Connie Hawkins |
E122708
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Connie
Connie is the nickname of Connie Hawkins, a legendary American basketball player known for his high-flying, acrobatic style and Hall of Fame career.
|
E523233
|
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: Connie | Statement: [Connie Hawkins, nickname, Connie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Connie Context triple: [Connie Hawkins, nickname, Connie]
-
A.
Connie
Connie is a supporting character in the 2019 folk horror film "Midsommar," one of the visiting outsiders who becomes entangled in the sinister rituals of a remote Swedish commune.
-
B.
Connie Conehead
Connie Conehead is the teenage daughter in the Conehead family from the Saturday Night Live sketches and subsequent film, known for her distinctive conical head and attempts to fit into human society.
-
C.
Conie
Conie is a river in France that serves as a right-bank tributary of the Loir.
-
D.
Colleen
Colleen is a feminine given name of Irish origin, commonly used in English-speaking countries.
-
E.
Laurie
Laurie is a charming, wealthy, and impulsive young man who becomes a close friend and would-be suitor to the March sisters in Louisa May Alcott’s novel "Little Women."
- 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: Connie Triple: [Connie Hawkins, nickname, Connie]
Generated description
Connie is the nickname of Connie Hawkins, a legendary American basketball player known for his high-flying, acrobatic style and Hall of Fame career.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Connie Target entity description: Connie is the nickname of Connie Hawkins, a legendary American basketball player known for his high-flying, acrobatic style and Hall of Fame career.
-
A.
Connie
Connie is a supporting character in the 2019 folk horror film "Midsommar," one of the visiting outsiders who becomes entangled in the sinister rituals of a remote Swedish commune.
-
B.
Connie Conehead
Connie Conehead is the teenage daughter in the Conehead family from the Saturday Night Live sketches and subsequent film, known for her distinctive conical head and attempts to fit into human society.
-
C.
Conie
Conie is a river in France that serves as a right-bank tributary of the Loir.
-
D.
Colleen
Colleen is a feminine given name of Irish origin, commonly used in English-speaking countries.
-
E.
Laurie
Laurie is a charming, wealthy, and impulsive young man who becomes a close friend and would-be suitor to the March sisters in Louisa May Alcott’s novel "Little Women."
- 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_69bd4643f16081908d7f29e08096115a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9217009c819082631a2758b5f2a4 |
completed | March 20, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf488b64d081908163edfff6484f5c |
completed | March 22, 2026, 1:40 a.m. |
| NEDg | Description generation | batch_69bf49ed2e2081908642f700d97943e9 |
completed | March 22, 2026, 1:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf4abbf2488190a30dd222d0de0470 |
completed | March 22, 2026, 1:49 a.m. |
Created at: March 20, 2026, 2:08 p.m.