Triple
T30430851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Polish |
E774159
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Axis Sally
Axis Sally is a 2021 war drama film, directed by Michael Polish, that portrays the controversial World War II-era American broadcaster Mildred Gillars who propagated Nazi radio propaganda.
|
E1916001
|
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: Axis Sally | Statement: [Michael Polish, notableWork, Axis Sally]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Axis Sally Triple: [Michael Polish, notableWork, Axis Sally]
Generated description
Axis Sally is a 2021 war drama film, directed by Michael Polish, that portrays the controversial World War II-era American broadcaster Mildred Gillars who propagated Nazi radio propaganda.
Provenance (5 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_69f22492d2a88190995ce8745d9becaa |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6866e2fcc819090808635c0818ed9 |
completed | May 2, 2026, 11:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2798ba2cd48190b7d61c30747e94d7 |
completed | June 9, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_6a279a78c9b081909c2958bf8fa6968b |
completed | June 9, 2026, 4:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a279befd2848190b904461897fd7801 |
completed | June 9, 2026, 4:51 a.m. |
Created at: April 29, 2026, 8:06 p.m.