Triple
T2732384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elf |
E60344
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Jon Favreau |
E48163
|
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: Jon Favreau | Statement: [Elf, director, Jon Favreau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon Favreau Context triple: [Elf, director, Jon Favreau]
-
A.
Jon Favreau
chosen
Jon Favreau is an American filmmaker and actor known for directing blockbuster films such as Iron Man and The Jungle Book and for creating the Star Wars series The Mandalorian.
-
B.
Chris McKay
Chris McKay is an American filmmaker and animator best known for his work directing and editing acclaimed animated comedies such as The Lego Batman Movie.
-
C.
Robert Downey Jr.
Robert Downey Jr. is an acclaimed American actor best known for his charismatic performances in films such as the Iron Man and Avengers series, as well as his critically lauded dramatic roles.
-
D.
Chris Buck
Chris Buck is an American film director, animator, and screenwriter best known for co-directing Disney’s hit animated films such as Tarzan and Frozen.
-
E.
Shawn Levy
Shawn Levy is a Canadian film director, producer, and actor best known for helming mainstream comedies and adventure films such as the "Night at the Museum" series and for producing hit television shows like "Stranger Things."
- 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_69ab4b75cd908190b691ef0d1801acda |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaf011548190beb9c3feee7b743f |
completed | March 7, 2026, 7:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb69eeedc81908ad654de9e1259ea |
completed | March 10, 2026, 6:13 a.m. |
Created at: March 6, 2026, 9:56 p.m.