Triple
T10390948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ron’s Gone Wrong |
E244889
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Sarah Smith |
E858935
|
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: Sarah Smith | Statement: [Ron’s Gone Wrong, writer, Sarah Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Smith Context triple: [Ron’s Gone Wrong, writer, Sarah Smith]
-
A.
Sarah Smith
Sarah Smith is known as a daughter of early Latter-day Saint leader Hyrum Smith.
-
B.
Sarah Smith
chosen
Sarah Smith is a British filmmaker best known for co-directing the animated feature film "Ron’s Gone Wrong" and previously directing "Arthur Christmas."
-
C.
Anna Smith
Anna Smith is the wife of Mr. Alonzo Smith.
-
D.
Anna Smith
Anna Smith is a member of the fictional Smith family featured in the classic 1944 musical film "Meet Me in St. Louis."
-
E.
Jane Smith
Jane Smith is the fictional covert assassin and wife of John Smith played by Angelina Jolie in the action film "Mr. & Mrs. Smith."
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9b4f7d08190bcb16d3b4c8f22ad |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fbae9a9c81908178fca68eb142b6 |
completed | April 9, 2026, 7:19 p.m. |
Created at: April 6, 2026, 12:06 p.m.