Triple
T11648622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago (2002 film) |
E276842
|
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: [Chicago (2002 film), editedBy, Martin Walsh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Walsh Context triple: [Chicago (2002 film), editedBy, Martin Walsh]
-
A.
Martin Walsh
Martin Walsh is an author best known for writing the work titled "The Warrior."
-
B.
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."
-
C.
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.
-
D.
Albert Wynn
Albert Wynn is an American politician and former Democratic U.S. Representative from Maryland who served in Congress from the early 1990s until his primary defeat by Donna Edwards.
-
E.
Bill Rago
Bill Rago is a down-on-his-luck advertising executive who becomes an unconventional teacher for a group of underachieving Army recruits in the film "Renaissance Man."
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2cd9bb0819093d107204bed2fe0 |
completed | April 10, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee8805a91081909ff29b3357e351ee |
completed | April 26, 2026, 9:47 p.m. |
Created at: April 8, 2026, 9:39 p.m.