Triple
T33573937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zohran Mamdani |
E859974
|
entity |
| Predicate | instagramUsername |
P3718
|
FINISHED |
| Object |
zohrankmamdani
Zohran Mamdani is a New York State Assembly member and democratic socialist organizer representing parts of Queens, known for his advocacy on housing justice and progressive policies.
|
E2058099
|
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: zohrankmamdani | Statement: [Zohran Mamdani, instagramUsername, zohrankmamdani]
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: zohrankmamdani Triple: [Zohran Mamdani, instagramUsername, zohrankmamdani]
Generated description
Zohran Mamdani is a New York State Assembly member and democratic socialist organizer representing parts of Queens, known for his advocacy on housing justice and progressive policies.
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_69f3497d37848190afcbb5ef3f5c7376 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f748c4c08190aee89af206b8d773 |
completed | May 3, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a35afdf32948190b11081d8a81b61fd |
completed | June 19, 2026, 9:08 p.m. |
| NEDg | Description generation | batch_6a35b7e47a3c81908599f78ac02c2320 |
completed | June 19, 2026, 9:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a35b877a9348190ab14359362f58d80 |
completed | June 19, 2026, 9:45 p.m. |
Created at: May 1, 2026, 1:40 a.m.