Triple
T37798593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Son (TV series) |
E942305
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object |
The Son (novel)
The Son is a 2013 historical novel by Philipp Meyer that chronicles the rise and fall of a Texas family across multiple generations, exploring themes of violence, power, and the American frontier.
|
E2243674
|
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 Son (novel) | Statement: [The Son (TV series), basedOn, The Son (novel)]
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 Son (novel) Triple: [The Son (TV series), basedOn, The Son (novel)]
Generated description
The Son is a 2013 historical novel by Philipp Meyer that chronicles the rise and fall of a Texas family across multiple generations, exploring themes of violence, power, and the American frontier.
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_69f76ee6f1f4819091e2cf9c9e6aee19 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbb172de248190b0e600dd3007e1bb |
completed | May 6, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40f187fc5081908833bfd058cb9e55 |
completed | June 28, 2026, 10:03 a.m. |
| NEDg | Description generation | batch_6a40f23ecbc081909576b02690c2cc92 |
completed | June 28, 2026, 10:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a40f2dd54488190b0da6cb656706f54 |
completed | June 28, 2026, 10:09 a.m. |
Created at: May 3, 2026, 4:19 p.m.