Triple
T28278263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memphis Belle (film score) |
E713065
|
entity |
| Predicate | usedIn |
P98
|
FINISHED |
| Object |
Memphis Belle (1990 film)
Memphis Belle (1990 film) is a 1990 war drama depicting the final World War II bombing mission of a B-17 Flying Fortress crew, inspired by the real-life Memphis Belle aircraft and its crew.
|
E1815069
|
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: Memphis Belle (1990 film) | Statement: [Memphis Belle (film score), usedIn, Memphis Belle (1990 film)]
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: Memphis Belle (1990 film) Triple: [Memphis Belle (film score), usedIn, Memphis Belle (1990 film)]
Generated description
Memphis Belle (1990 film) is a 1990 war drama depicting the final World War II bombing mission of a B-17 Flying Fortress crew, inspired by the real-life Memphis Belle aircraft and its crew.
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_69efb52275788190ae5181ccebef18ce |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6444debc88190a2799fedc421013a |
completed | May 2, 2026, 6:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1627a2e5048190b70d8f7e12b5efad |
completed | May 26, 2026, 11:07 p.m. |
| NEDg | Description generation | batch_6a162923e55481909c09ac79ce541641 |
completed | May 26, 2026, 11:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1629baced481908056a997a85a1b84 |
completed | May 26, 2026, 11:16 p.m. |
Created at: April 27, 2026, 11:21 p.m.