Triple
T23927819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | therealdebramessing |
E602406
|
entity |
| Predicate | ownerNotableRole |
P24124
|
FINISHED |
| Object | Grace Adler on Will & Grace |
—
|
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: Grace Adler on Will & Grace | Statement: [therealdebramessing, ownerNotableRole, Grace Adler on Will & Grace]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownerNotableRole Context triple: [therealdebramessing, ownerNotableRole, Grace Adler on Will & Grace]
-
A.
hasNotableRoleIn
Indicates that an entity holds a significant or noteworthy role or function within another entity, event, work, or context.
-
B.
notableHolderRole
chosen
Indicates that an entity is recognized for holding a particular role, office, or position in a notable or distinguished capacity.
-
C.
ownerRole
Indicates the role or capacity in which an entity serves as the owner of another entity.
-
D.
notableRecipientRole
Indicates that an entity has received a notable award, honor, or recognition specifically in the capacity of a particular role or position.
-
E.
notableArcRole
Indicates that one entity holds a particularly important or prominent role within a narrative arc or storyline in relation to another entity.
- 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_69e2953b928c819095395fa87baca583 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cf1efb348190b4cbb32b3b6c9ae4 |
completed | April 29, 2026, 9:27 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:49 p.m.