Triple
T673991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Owl and the Nightingale |
E13038
|
entity |
| Predicate | debateParticipants |
P6467
|
FINISHED |
| Object | owl |
—
|
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: owl | Statement: [The Owl and the Nightingale, debateParticipants, owl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: debateParticipants Context triple: [The Owl and the Nightingale, debateParticipants, owl]
-
A.
hasDebate
Indicates that there is a formal discussion or argument between entities, typically presenting opposing viewpoints on a topic.
-
B.
broadcastsDebates
Indicates that one entity transmits or airs debates for an audience, typically via a communication medium such as television, radio, or online platforms.
-
C.
hasLongTermDebateOn
Indicates that there is an ongoing, extended period of discussion, disagreement, or argument concerning a particular topic or issue.
-
D.
languageOfDebate
Indicates that a specified language is the one used for conducting a particular debate.
-
E.
notableParticipant
chosen
Indicates that an entity plays a significant or distinguished role as a participant in an event, activity, or context.
- F. None of above.
Provenance (3 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a1b3682c8190a9b9a454480c3446 |
completed | March 1, 2026, 8:29 p.m. |
| PD | Predicate disambiguation | batch_69a49d1a16c48190af89e3b078a4957e |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.