Triple
T11941233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hazards of Helen |
E284181
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Helen Gibson |
E999968
|
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: Helen Gibson | Statement: [The Hazards of Helen, starring, Helen Gibson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen Gibson Context triple: [The Hazards of Helen, starring, Helen Gibson]
-
A.
Helen Gibson
chosen
Helen Gibson was a pioneering American silent film actress and stunt performer, best known as one of early cinema’s first professional stuntwomen.
-
B.
Helen McCrory
Helen McCrory was an acclaimed English stage and screen actress known for her powerful performances in works such as "Peaky Blinders," the "Harry Potter" film series, and numerous high-profile theatre productions.
-
C.
Pamela Rabe
Pamela Rabe is an acclaimed Canadian-Australian actress and theatre director known for her powerful stage work and prominent roles in Australian film and television.
-
D.
Tessa Menzies
Tessa Menzies is a child of California politician and governor Gavin Newsom.
-
E.
Sheila Hancock
Sheila Hancock is a British actress and author renowned for her extensive work in theatre, television, and film, as well as her appearances as a television presenter and panelist.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90342bb908190a019ac91a2b82f3d |
completed | April 10, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684c9aa3881908f920422f4f815e1 |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 8, 2026, 9:45 p.m.