Triple
T16872591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert D. Yeoman |
E421208
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Bridesmaids |
E55949
|
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: Bridesmaids | Statement: [Robert D. Yeoman, workedOn, Bridesmaids]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bridesmaids Context triple: [Robert D. Yeoman, workedOn, Bridesmaids]
-
A.
Bridesmaids
chosen
Bridesmaids is a 2011 American comedy film known for its ensemble female cast, raunchy humor, and critical and commercial success that helped redefine modern women-led comedies.
-
B.
Wedding Crashers
Wedding Crashers is a 2005 American comedy film about two divorce mediators who crash weddings to meet women, starring Owen Wilson and Vince Vaughn.
-
C.
American Wedding
American Wedding is a 2003 American comedy film, the third installment in the American Pie series, following the characters as they navigate the chaos surrounding Jim and Michelle’s wedding.
-
D.
Bride Wars
Bride Wars is a 2009 romantic comedy film about two best friends who become rivals when their weddings are accidentally scheduled for the same day.
-
E.
Bridezillas
Bridezillas is a reality television series that follows demanding and over-the-top brides as they plan their weddings, often highlighting dramatic conflicts and extreme behavior.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f31b448190a21e3e4d1a0d2f73 |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2b0dcbc8190a164cbd57586ac9c |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 5:29 a.m.