Triple
T5343213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inkheart |
E123990
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Martin Walsh |
E49508
|
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: Martin Walsh | Statement: [Inkheart, editedBy, Martin Walsh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Walsh Context triple: [Inkheart, editedBy, Martin Walsh]
-
A.
Martin Walsh
chosen
Martin Walsh is a British film editor known for his work on major films including "Bridget Jones’s Diary" and the Academy Award-winning "Chicago."
-
B.
Marty Walsh
Marty Walsh is an American politician and labor leader who served as mayor of Boston and later as U.S. Secretary of Labor under President Joe Biden.
-
C.
John Hynes
John Hynes is an American professional ice hockey coach who serves as the head coach of the NHL’s Minnesota Wild and is known for his previous coaching stints with the New Jersey Devils and Nashville Predators.
-
D.
Martin Hynes
Martin Hynes is an American screenwriter and filmmaker best known for co-writing the story for Pixar’s animated film "Toy Story 4."
-
E.
Kwame Kilpatrick
Kwame Kilpatrick is a former mayor of Detroit who became widely known for his corruption scandal, criminal convictions, and subsequent imprisonment.
- 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_69bd464be27081908807b40b75c1bbae |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85e86edc81908d87933db6489f91 |
completed | March 20, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21c5f82481908e9061d68c1e7496 |
completed | March 21, 2026, 10:55 p.m. |
Created at: March 20, 2026, 2:01 p.m.