Triple
T15358199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olivia Munn |
E367216
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Mortdecai |
E351276
|
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: Mortdecai | Statement: [Olivia Munn, appearedIn, Mortdecai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mortdecai Context triple: [Olivia Munn, appearedIn, Mortdecai]
-
A.
Mortdecai
chosen
Mortdecai is a 2015 action-comedy film starring Johnny Depp as an eccentric art dealer entangled in a global hunt for a stolen painting.
-
B.
Duffman
Duffman is the over-the-top, musclebound, and perpetually enthusiastic beer mascot from The Simpsons who promotes Duff Beer with his signature catchphrases and flashy entrances.
-
C.
Lummox
Lummox is a 1923 novel by American author Fannie Hurst that portrays the hard life and emotional struggles of a domestic servant in New York City.
-
D.
Dick Dastardly
Dick Dastardly is a cartoon villain best known as the mustache-twirling, scheming racer who constantly cheats and fails in the Hanna-Barbera series "Wacky Races."
-
E.
Kronk
Kronk is the lovable, dim-witted yet surprisingly skilled henchman and chef from Disney's animated film "The Emperor's New Groove."
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2d4934819097fc63603964217c |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b47f20081909ef7b077458d1510 |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.