Triple
T34820146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Award for Best Special Theatrical Event |
E1003747
|
entity |
| Predicate | isShortLivedCategory |
P3981
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Tony Award for Best Special Theatrical Event, isShortLivedCategory, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isShortLivedCategory Context triple: [Tony Award for Best Special Theatrical Event, isShortLivedCategory, true]
-
A.
isShortLived
chosen
Indicates that an entity exists or remains in a particular state for only a brief or limited period of time.
-
B.
isShort
Indicates that one entity has a relatively small height, length, or duration compared to a standard or to other entities.
-
C.
isShortName
Indicates that one name is an abbreviated or shorter form of another name.
-
D.
isTemporary
Indicates that the relationship, state, or condition holds only for a limited or non-permanent duration.
-
E.
hasShort
Indicates that an entity possesses or is characterized by something of short length or duration.
- 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_69f76db717088190811b4e744610f37d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77adce5dc81909c8d07ff1c0e9c93 |
completed | May 3, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69f7795b1abc8190823664d1caa94649 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 4 p.m.