Triple
T7541872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niles Crane |
E178296
|
entity |
| Predicate | awardWithinFiction |
P77902
|
FINISHED |
| Object | multiple professional psychiatric honors (implied) |
—
|
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: multiple professional psychiatric honors (implied) | Statement: [Niles Crane, awardWithinFiction, multiple professional psychiatric honors (implied)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardWithinFiction Context triple: [Niles Crane, awardWithinFiction, multiple professional psychiatric honors (implied)]
-
A.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
B.
awardCreated
Indicates that an award was established or instituted by a particular agent or entity.
-
C.
awardGivenBy
Indicates that an award is conferred or presented by one entity to another.
-
D.
awardMedium
Indicates the medium or format through which an award is given, presented, or communicated.
-
E.
awardFocus
Indicates that an award or honor is specifically directed toward, centered on, or primarily concerned with a particular 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8750f80819088ddfb7a5580b5df |
completed | March 27, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69c6f4daad6c8190af2b8ae88d2c8cb7 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f8184bb08190b2f70545a6aa277c |
completed | March 27, 2026, 9:35 p.m. |
Created at: March 27, 2026, 3:48 p.m.