Triple
T31953394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle at Leipzig-Halle Airport |
E815840
|
entity |
| Predicate | teamMemberOnSideB |
P19122
|
FINISHED |
| Object |
Sam Wilson
Sam Wilson, also known as the Falcon, is a Marvel Comics superhero and close ally of Captain America who uses a specialized winged suit for aerial combat and reconnaissance.
|
E59210
|
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: Sam Wilson | Statement: [Battle at Leipzig-Halle Airport, teamMemberOnSideB, Sam Wilson]
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: Sam Wilson Triple: [Battle at Leipzig-Halle Airport, teamMemberOnSideB, Sam Wilson]
Generated description
Sam Wilson, also known as the Falcon, is a Marvel Comics superhero and close ally of Captain America who uses a specialized winged suit for aerial combat and reconnaissance.
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_69f348f4ec708190abbb2a7c3ed58844 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b63982b88190a312d869093da48f |
completed | May 3, 2026, 2:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3056e5778c8190b40deca5bb086a70 |
completed | June 15, 2026, 7:47 p.m. |
| NEDg | Description generation | batch_6a305abe69fc81908e440aa926005b3f |
completed | June 15, 2026, 8:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a305b204fac8190a2dce9c6757b41c9 |
completed | June 15, 2026, 8:05 p.m. |
Created at: May 1, 2026, 12:08 a.m.