Triple
T3772107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juno |
E83220
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Bren MacGuff |
E128761
|
NE FINISHED |
How this triple was built (2 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: Bren MacGuff | Statement: [Juno, character, Bren MacGuff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bren MacGuff Context triple: [Juno, character, Bren MacGuff]
-
A.
Bren MacGuff
chosen
Bren MacGuff is the sharp-tongued, supportive stepmother character from the 2007 film "Juno," portrayed by Allison Janney.
-
B.
Jervis McEntee
Jervis McEntee was a 19th-century American landscape painter associated with the Hudson River School, known for his poetic, melancholic depictions of nature.
-
C.
John Bridger
John Bridger is a veteran safecracker and mentor figure in the 2003 heist film "The Italian Job," known for planning intricate robberies and leading a close-knit crew.
-
D.
Brian Fleming
Brian Fleming is a personal name shared by several individuals, most commonly associated with professionals in fields such as law, politics, and the arts.
-
E.
Malcolm Waite
Malcolm Waite was an American silent film actor best remembered for his supporting roles in early Hollywood comedies, including Charlie Chaplin films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
Created at: March 8, 2026, 3:36 p.m.