Triple
T32200449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English Theatre Company in Paris |
E822516
|
entity |
| Predicate | receivedAttentionFrom |
P179842
|
FINISHED |
| Object | French Romantic writers and critics |
—
|
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: French Romantic writers and critics | Statement: [English Theatre Company in Paris, receivedAttentionFrom, French Romantic writers and critics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivedAttentionFrom Context triple: [English Theatre Company in Paris, receivedAttentionFrom, French Romantic writers and critics]
-
A.
receivedSupportFrom
Indicates that one entity obtained help, resources, or backing from another entity.
-
B.
receivedIn
Indicates that something was obtained, accepted, or taken possession of within a particular context, location, or time frame.
-
C.
receivedMarkFrom
Indicates that one entity has been given or assigned a mark, grade, or score by another entity.
-
D.
receivedTransmissionOf
Indicates that one entity has obtained or been sent a transmission (such as a message, signal, or data) originating from another entity.
-
E.
receivedFor
Indicates that something was obtained, accepted, or taken into possession on behalf of or for the benefit of a specified entity.
- 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_69f349093174819086e633c190a51aa8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
| PDg | Predicate description generation | batch_69f727ad9ff88190ba8069dd48b2e98f |
completed | May 3, 2026, 10:47 a.m. |
Created at: May 1, 2026, 12:36 a.m.