Triple
T12278691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Family Ties |
E292657
|
entity |
| Predicate | notableAwardCategory |
P103991
|
FINISHED |
| Object | Outstanding Lead Actor in a Comedy Series |
—
|
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: Outstanding Lead Actor in a Comedy Series | Statement: [Family Ties, notableAwardCategory, Outstanding Lead Actor in a Comedy Series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAwardCategory Context triple: [Family Ties, notableAwardCategory, Outstanding Lead Actor in a Comedy Series]
-
A.
notableAwardWon
Indicates that an entity has received a specific notable award as a winner.
-
B.
notableAwardedFor
Indicates that an award is notable specifically for being given in recognition of a particular work, achievement, or contribution.
-
C.
notableAwardRecognition
Indicates that an entity has received or been formally recognized with a notable award or honor.
-
D.
notableNetworkOfWinners
Indicates that there exists a prominent or distinguished network or group composed of winners associated with the subject.
-
E.
notableAwardAdministered
Indicates that an entity is responsible for organizing, managing, or overseeing the administration of a notable award.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d9261e1570819084bb4fdb44aa6aea |
completed | April 10, 2026, 4:32 p.m. |
| PD | Predicate disambiguation | batch_69d91c4d9a9c8190aeb7beaf9792d8f0 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d9261b7f088190b69fe6961015fce3 |
completed | April 10, 2026, 4:32 p.m. |
Created at: April 8, 2026, 9:52 p.m.