Triple
T15961832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juno MacGuff |
E387079
|
entity |
| Predicate | hasFather |
P1908
|
FINISHED |
| Object | Mac MacGuff |
E387082
|
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: Mac MacGuff | Statement: [Juno MacGuff, hasFather, Mac MacGuff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mac MacGuff Context triple: [Juno MacGuff, hasFather, Mac MacGuff]
-
A.
Mac MacGuff
chosen
Mac MacGuff is the supportive and straightforward father of the pregnant teenage protagonist in the film "Juno."
-
B.
The MAC
The MAC is a contemporary arts venue in Belfast, Northern Ireland, known for hosting visual art exhibitions, theatre performances, and other cultural events.
-
C.
Le Mac
Le Mac is a French film associated with the production company La Petite Reine, known for its blend of crime and comedy elements.
-
D.
MACG-28
MACG-28 is a United States Marine Corps aviation command and control unit responsible for coordinating and managing air operations in support of Marine Air-Ground Task Forces.
-
E.
MacCool
MacCool is a variant spelling of the surname McCool, commonly associated with Irish heritage and folklore.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15700651c819091c1cc4f60894c35 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe827d248190adbfd41f55638ebd |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:53 a.m.