Triple
T23979819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hard Hearted Hannah (The Vamp of Savannah) |
E604475
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Hard Hearted Hannah
Hard Hearted Hannah is a popular 1924 American jazz and pop song known for its darkly comic lyrics about a cold-blooded femme fatale from Savannah.
|
E1615116
|
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: Hard Hearted Hannah | Statement: [Hard Hearted Hannah (The Vamp of Savannah), alsoKnownAs, Hard Hearted Hannah]
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: Hard Hearted Hannah Triple: [Hard Hearted Hannah (The Vamp of Savannah), alsoKnownAs, Hard Hearted Hannah]
Generated description
Hard Hearted Hannah is a popular 1924 American jazz and pop song known for its darkly comic lyrics about a cold-blooded femme fatale from Savannah.
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_69e29543f40c819087700b7a272afb60 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d2bc79688190bc98a2d57b91f5a3 |
completed | April 29, 2026, 9:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0f7e8153d88190b4753be2df39f958 |
completed | May 21, 2026, 9:52 p.m. |
| NEDg | Description generation | batch_6a0f80e2f8c88190b04dcf47b416f934 |
completed | May 21, 2026, 10:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0f81d0818881908066cf3d819cb013 |
completed | May 21, 2026, 10:06 p.m. |
Created at: April 17, 2026, 9:27 p.m.