Triple
T9518442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Broderick |
E229582
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Top Hat |
E43618
|
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: Top Hat | Statement: [Helen Broderick, notableWork, Top Hat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Top Hat Context triple: [Helen Broderick, notableWork, Top Hat]
-
A.
Top Hat
chosen
Top Hat is a 1935 Hollywood musical film starring Fred Astaire and Ginger Rogers, renowned for its elegant dance sequences, Irving Berlin songs, and status as a classic of the genre.
-
B.
Thin Man
Thin Man is a slender, humanoid alien infiltrator from the XCOM video game series known for disguising itself as a human and using poison-based attacks.
-
C.
Song and Dance
Song and Dance is a two-act musical by Andrew Lloyd Webber that uniquely combines a song cycle with a dance-based narrative.
-
D.
Mack & Mabel
Mack & Mabel is a 1974 Broadway musical by Jerry Herman that dramatizes the turbulent relationship between silent film director Mack Sennett and his star Mabel Normand.
-
E.
Duck Soup
Duck Soup is a classic 1933 Marx Brothers political satire film renowned for its rapid-fire wit and anarchic comedy.
- 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_69ca847870a881909d8d751a7d29da39 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9881e0f081909a0177cedc2e8b95 |
completed | April 1, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc35038081909f5cf3f148e95541 |
completed | April 5, 2026, 2:43 a.m. |
Created at: March 30, 2026, 7:59 p.m.