Triple
T23992520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Horror Convention Grand Master Award |
E605102
|
entity |
| Predicate | notableRecipient |
P108
|
FINISHED |
| Object |
Chelsea Quinn Yarbro
Chelsea Quinn Yarbro is an American author best known for her prolific horror and dark fantasy novels, particularly the long-running Saint-Germain vampire series.
|
E1612885
|
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: Chelsea Quinn Yarbro | Statement: [World Horror Convention Grand Master Award, notableRecipient, Chelsea Quinn Yarbro]
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: Chelsea Quinn Yarbro Triple: [World Horror Convention Grand Master Award, notableRecipient, Chelsea Quinn Yarbro]
Generated description
Chelsea Quinn Yarbro is an American author best known for her prolific horror and dark fantasy novels, particularly the long-running Saint-Germain vampire series.
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_69e295463f7c8190b1c19dbd114641b9 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d38ce7fc8190a488991b6f61416b |
completed | April 29, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0f7e8e7b288190a33fed8a5eadbcbc |
completed | May 21, 2026, 9:52 p.m. |
| NEDg | Description generation | batch_6a0f7f6e3808819084a560d1a0048882 |
completed | May 21, 2026, 9:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0f800c3e4c8190ae281aba47e36941 |
completed | May 21, 2026, 9:58 p.m. |
Created at: April 17, 2026, 9:37 p.m.