Triple
T2125451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josh Gad |
E46412
|
entity |
| Predicate | instagramUsername |
P3718
|
FINISHED |
| Object | joshgad |
E236204
|
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: joshgad | Statement: [Josh Gad, instagramUsername, joshgad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: joshgad Context triple: [Josh Gad, instagramUsername, joshgad]
-
A.
joshgad
chosen
Josh Gad is an American actor and comedian best known for voicing Olaf in Disney’s Frozen franchise and starring in films and Broadway productions.
-
B.
Josh
Josh is a fictional political operative best known as the sharp-witted Deputy White House Chief of Staff on the television series "The West Wing."
-
C.
Michael Stevens
Michael Stevens is an American composer and musician best known for co-composing the score to the film "Invictus" alongside Kyle Eastwood.
-
D.
Jawed
Jawed is the given name of Jawed Karim, the computer scientist and entrepreneur best known as a co-founder of YouTube.
-
E.
Joost
Joost is a masculine given name of Dutch origin, historically associated with figures such as the poet and playwright Joost van den Vondel.
- 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_69ae58cf2a588190a59dc1ae5d684538 |
completed | March 9, 2026, 5:21 a.m. |
Created at: March 4, 2026, 7:44 p.m.