Triple
T2125411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josh Gad |
E46412
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Josh Gad |
E46412
|
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: Josh Gad | Statement: [Josh Gad, name, Josh Gad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josh Gad Context triple: [Josh Gad, name, Josh Gad]
-
A.
Josh Gad
chosen
Josh Gad is an American actor and comedian best known for his roles in films like "Frozen" (as the voice of Olaf) and "Beauty and the Beast," as well as on Broadway in "The Book of Mormon."
-
B.
Ian Charleson
Ian Charleson was a Scottish actor best known for his portrayal of Olympic runner and devout Christian Eric Liddell in the film "Chariots of Fire."
-
C.
Tony Hale
Tony Hale is an American actor and comedian best known for his Emmy-winning roles in the television series "Arrested Development" and "Veep."
-
D.
Michael Ian Black
Michael Ian Black is an American comedian, actor, writer, and director known for his work on "The State," "Stella," and numerous stand-up and television appearances.
-
E.
Hugh Dennis
Hugh Dennis is a British comedian, actor, and writer best known for his work on the sketch show "The Mary Whitehouse Experience" and the sitcom "Outnumbered."
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb57bc6881909f04a407beff33a6 |
completed | March 7, 2026, 5:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae519ead088190a8a7229d998732de |
completed | March 9, 2026, 4:50 a.m. |
Created at: March 4, 2026, 7:44 p.m.