Triple
T22832049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacinta |
E565827
|
entity |
| Predicate | hasDiminutiveForm |
P456
|
FINISHED |
| Object |
Jaci
Jaci is a feminine given name, commonly used as a shortened or affectionate form of names like Jacinta.
|
E1556404
|
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: Jaci | Statement: [Jacinta, hasDiminutiveForm, Jaci]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaci Context triple: [Jacinta, hasDiminutiveForm, Jaci]
-
A.
Jeni
Jeni is a common shortened form or nickname for the given name Jennifer.
-
B.
Jayna
Jayna is a Canadian former ice hockey forward renowned as one of the most decorated players in women’s hockey history, including multiple Olympic gold medals with Team Canada.
-
C.
Jaye
Jaye is a given name most notably associated with Jaye Davidson, the British-American actor known for his Oscar-nominated role in the film "The Crying Game."
-
D.
Janni
Janni is an alternative spelling of the given name Gianni, commonly used as a personal name in various European languages.
-
E.
Jasika Nicole
Jasika Nicole is an American actress and illustrator best known for playing FBI Junior Agent Astrid Farnsworth on the science-fiction television series "Fringe."
- 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: Jaci Triple: [Jacinta, hasDiminutiveForm, Jaci]
Generated description
Jaci is a feminine given name, commonly used as a shortened or affectionate form of names like Jacinta.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jaci Target entity description: Jaci is a feminine given name, commonly used as a shortened or affectionate form of names like Jacinta.
-
A.
Jeni
Jeni is a common shortened form or nickname for the given name Jennifer.
-
B.
Jayna
Jayna is a Canadian former ice hockey forward renowned as one of the most decorated players in women’s hockey history, including multiple Olympic gold medals with Team Canada.
-
C.
Jaye
Jaye is a given name most notably associated with Jaye Davidson, the British-American actor known for his Oscar-nominated role in the film "The Crying Game."
-
D.
Janni
Janni is an alternative spelling of the given name Gianni, commonly used as a personal name in various European languages.
-
E.
Jasika Nicole
Jasika Nicole is an American actress and illustrator best known for playing FBI Junior Agent Astrid Farnsworth on the science-fiction television series "Fringe."
- 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_69e24585ab1c81909b2b5065d15805d5 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e2c8d3881909eb19d65187ed719 |
completed | April 29, 2026, 3:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ba7ae3dd08190b87d60a2cbfaabc7 |
completed | May 18, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_6a0ba8777b3c81909c294af4d7986a5b |
completed | May 19, 2026, 12:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba92083ac819088111724d59aff11 |
completed | May 19, 2026, 12:04 a.m. |
Created at: April 17, 2026, 3:34 p.m.