Triple
T8448244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | QED International |
E199732
|
entity |
| Predicate | financed |
P154
|
FINISHED |
| Object | Dirty Grandpa |
E375668
|
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: Dirty Grandpa | Statement: [QED International, financed, Dirty Grandpa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dirty Grandpa Context triple: [QED International, financed, Dirty Grandpa]
-
A.
Dirty Grandpa
chosen
Dirty Grandpa is a 2016 raunchy comedy film starring Robert De Niro and Zac Efron, known for its outrageous humor and wild spring-break road-trip plot.
-
B.
Grandmama
Grandmama is the eccentric, witch-like matriarch of the Addams family, known for her dark humor, odd potions, and macabre charm.
-
C.
Grandma's Boy
"Grandma's Boy" is a 1922 silent comedy film starring Harold Lloyd, known for blending physical gags with a character-driven story about a timid young man finding his courage.
-
D.
Grumpy Old Men
Grumpy Old Men is a 1993 American comedy film starring Jack Lemmon and Walter Matthau as feuding elderly neighbors whose rivalry is reignited when a new woman moves to their small Minnesota town.
-
E.
Up & Up
Up & Up is Target Corporation’s private-label brand offering a wide range of everyday household, personal care, and essential consumer products at value prices.
- 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_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe445b7988190b53ae45070c70d1d |
completed | March 31, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce39b528f08190a0627cb17a0ffef9 |
completed | April 2, 2026, 9:41 a.m. |
Created at: March 30, 2026, 6:09 p.m.