Triple
T7659455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justina Machado |
E173466
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Justina
Justina is a feminine given name used in various cultures, often derived from the Latin name Justina meaning "just" or "fair."
|
E679402
|
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: Justina | Statement: [Justina Machado, givenName, Justina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Justina Context triple: [Justina Machado, givenName, Justina]
-
A.
Jenna
Jenna is a common feminine given name, often used as a diminutive or variant of Jennifer.
-
B.
Julianna
Julianna is a feminine given name most notably borne by American actress Julianna Margulies.
-
C.
Justine Wheeler
Justine Wheeler is a South African-born artist and studio manager best known for her long-term professional and personal partnership with contemporary artist Jeff Koons.
-
D.
Juliana Stratton
Juliana Stratton is an American politician and attorney who serves as the lieutenant governor of Illinois, working alongside the governor on state policy and administration.
-
E.
Justine Ciarrocchi
Justine Ciarrocchi is a film producer known for her work on contemporary American comedies such as "No Hard Feelings."
- 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: Justina Triple: [Justina Machado, givenName, Justina]
Generated description
Justina is a feminine given name used in various cultures, often derived from the Latin name Justina meaning "just" or "fair."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Justina Target entity description: Justina is a feminine given name used in various cultures, often derived from the Latin name Justina meaning "just" or "fair."
-
A.
Jenna
Jenna is a common feminine given name, often used as a diminutive or variant of Jennifer.
-
B.
Julianna
Julianna is a feminine given name most notably borne by American actress Julianna Margulies.
-
C.
Justine Wheeler
Justine Wheeler is a South African-born artist and studio manager best known for her long-term professional and personal partnership with contemporary artist Jeff Koons.
-
D.
Juliana Stratton
Juliana Stratton is an American politician and attorney who serves as the lieutenant governor of Illinois, working alongside the governor on state policy and administration.
-
E.
Justine Ciarrocchi
Justine Ciarrocchi is a film producer known for her work on contemporary American comedies such as "No Hard Feelings."
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701a32f588190a7a923e8ce43f727 |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89b14b6848190892a262903d78b79 |
completed | March 29, 2026, 3:23 a.m. |
| NEDg | Description generation | batch_69c89becbf148190b1f065f4016a6d03 |
completed | March 29, 2026, 3:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c89cc3a3788190bd91aa0995b96c26 |
completed | March 29, 2026, 3:30 a.m. |
Created at: March 27, 2026, 3:59 p.m.