Triple
T29694904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nero Wolfe |
E751321
|
entity |
| Predicate | fictionalAddress |
P14481
|
FINISHED |
| Object |
454 West 35th Street, New York City
454 West 35th Street, New York City is the fictional brownstone residence and office of detective Nero Wolfe in Rex Stout’s mystery novels.
|
E1878371
|
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: 454 West 35th Street, New York City | Statement: [Nero Wolfe, fictionalAddress, 454 West 35th Street, New York City]
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: 454 West 35th Street, New York City Triple: [Nero Wolfe, fictionalAddress, 454 West 35th Street, New York City]
Generated description
454 West 35th Street, New York City is the fictional brownstone residence and office of detective Nero Wolfe in Rex Stout’s mystery novels.
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_69f0d6266f8481909e70bb41cda18587 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f672af46e48190b76e9298e7d23eef |
completed | May 2, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a267ece7cf081908f27f9faa9b73653 |
completed | June 8, 2026, 8:35 a.m. |
| NEDg | Description generation | batch_6a2684b776d481909718eaa128bb736a |
completed | June 8, 2026, 9 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2688aa26ec8190a39595ce2317d128 |
completed | June 8, 2026, 9:17 a.m. |
Created at: April 28, 2026, 7:19 p.m.