Triple
T205738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anacreon |
E4606
|
entity |
| Predicate | reception |
P9965
|
FINISHED |
| Object | highly admired in antiquity |
—
|
LITERAL 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: highly admired in antiquity | Statement: [Anacreon, reception, highly admired in antiquity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reception Context triple: [Anacreon, reception, highly admired in antiquity]
-
A.
hasReception
Indicates that an entity hosts, includes, or is associated with a reception event (such as a formal gathering or welcoming function).
-
B.
receives
Indicates that one entity is the recipient of something (such as an object, message, or action) from another entity.
-
C.
attendance
Indicates the relationship between an event and the people who are present at or participate in that event.
-
D.
venue
Indicates the place or location where an event, activity, or interaction takes place.
-
E.
reservationSystem
Indicates a system or process that manages the creation, modification, and tracking of reservations or bookings between parties.
- F. None of above. chosen
Provenance (4 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25e2aba74819093eddd8d820260c0 |
completed | Feb. 28, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69a25b4c7f908190876c1041db52dffc |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25e292fdc8190bfd51d8848f9ed58 |
completed | Feb. 28, 2026, 3:16 a.m. |
Created at: Feb. 28, 2026, 2:51 a.m.