Triple
T38691234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Morgan |
E949267
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object |
The Guard of the Wizard’s Hall
The Guard of the Wizard’s Hall is a minor but memorable character in the classic film "The Wizard of Oz," known for comically barring Dorothy and her friends from seeing the Wizard.
|
E2281628
|
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: The Guard of the Wizard’s Hall | Statement: [Frank Morgan, portrayed, The Guard of the Wizard’s Hall]
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: The Guard of the Wizard’s Hall Triple: [Frank Morgan, portrayed, The Guard of the Wizard’s Hall]
Generated description
The Guard of the Wizard’s Hall is a minor but memorable character in the classic film "The Wizard of Oz," known for comically barring Dorothy and her friends from seeing the Wizard.
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_69f76efe16148190befd5dd59c3dfeaa |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcdc65642c8190b98f2f3e3504ddc1 |
completed | May 7, 2026, 6:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a4205c5f3548190a8663f13766ef348 |
completed | June 29, 2026, 5:42 a.m. |
| NEDg | Description generation | batch_6a42079be1c88190a13e0884cf0784ef |
completed | June 29, 2026, 5:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a4207e678948190a9109abed9d16418 |
completed | June 29, 2026, 5:51 a.m. |
Created at: May 3, 2026, 4:33 p.m.