Triple
T3772103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juno |
E83220
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Juno MacGuff
Juno MacGuff is the witty, independent, and unexpectedly pregnant teenage protagonist of the 2007 film "Juno," known for her sharp dialogue and emotional maturity.
|
E387079
|
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: Juno MacGuff | Statement: [Juno, character, Juno MacGuff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juno MacGuff Context triple: [Juno, character, Juno MacGuff]
-
A.
Juno Wright
Juno Wright is a child of British actress and singer Carmen Ejogo.
-
B.
Leslie
Leslie is a Toronto subway station on Line 4 Sheppard in the city's transit system.
-
C.
Leslie
Leslie is the middle name of early 20th-century Major League Baseball pitcher Hippo Vaughn, a standout left-hander best known for his time with the Chicago Cubs.
-
D.
Leslie
Leslie is a given name used for people of any gender in English-speaking countries.
-
E.
Leslie
Leslie is the given name of Leslie R. Groves Jr., the U.S. Army Corps of Engineers officer who directed the Manhattan Project during World War II.
- 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: Juno MacGuff Triple: [Juno, character, Juno MacGuff]
Generated description
Juno MacGuff is the witty, independent, and unexpectedly pregnant teenage protagonist of the 2007 film "Juno," known for her sharp dialogue and emotional maturity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Juno MacGuff Target entity description: Juno MacGuff is the witty, independent, and unexpectedly pregnant teenage protagonist of the 2007 film "Juno," known for her sharp dialogue and emotional maturity.
-
A.
Juno Wright
Juno Wright is a child of British actress and singer Carmen Ejogo.
-
B.
Leslie
Leslie is a Toronto subway station on Line 4 Sheppard in the city's transit system.
-
C.
Leslie
Leslie is the middle name of early 20th-century Major League Baseball pitcher Hippo Vaughn, a standout left-hander best known for his time with the Chicago Cubs.
-
D.
Leslie
Leslie is a given name used for people of any gender in English-speaking countries.
-
E.
Leslie
Leslie is the given name of Leslie R. Groves Jr., the U.S. Army Corps of Engineers officer who directed the Manhattan Project during World War II.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc3219b881908a2f82126f9a679d |
completed | March 8, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e52bb2d08190b457dd517ff366d7 |
completed | March 14, 2026, 4:33 a.m. |
| NEDg | Description generation | batch_69b4e99c942c819094e2228bd3dc3b30 |
completed | March 14, 2026, 4:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4ea201fe8819098ac5459c39b258c |
completed | March 14, 2026, 4:54 a.m. |
Created at: March 8, 2026, 3:36 p.m.