Triple
T24330723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | APSA Comparative Politics Section Awards |
E613233
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
APSA Comparative Politics Section Luebbert Best Book Award
The APSA Comparative Politics Section Luebbert Best Book Award is an academic prize recognizing the best book in comparative politics published in a given year, presented by the American Political Science Association’s Comparative Politics Section.
|
E613233
|
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: APSA Comparative Politics Section Luebbert Best Book Award | Statement: [APSA Comparative Politics Section Awards, hasComponent, APSA Comparative Politics Section Luebbert Best Book Award]
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: APSA Comparative Politics Section Luebbert Best Book Award Triple: [APSA Comparative Politics Section Awards, hasComponent, APSA Comparative Politics Section Luebbert Best Book Award]
Generated description
The APSA Comparative Politics Section Luebbert Best Book Award is an academic prize recognizing the best book in comparative politics published in a given year, presented by the American Political Science Association’s Comparative Politics Section.
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_69e2d7db6d5c819091194918157a7c1f |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292f1312081909d44baa1e296c735 |
completed | April 29, 2026, 11:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0fd65962588190bfd2d8d898a74a2e |
completed | May 22, 2026, 4:06 a.m. |
| NEDg | Description generation | batch_6a0fd7f84a908190a128494e4b442ada |
completed | May 22, 2026, 4:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0fd8d0f6848190a77aff96b4fbcc3d |
completed | May 22, 2026, 4:17 a.m. |
Created at: April 18, 2026, 1:55 a.m.