Triple
T27090445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pencil |
E686151
|
entity |
| Predicate | referredPersonNotableRole |
P42032
|
FINISHED |
| Object | Meredith Grey |
—
|
NE NERFINISHED |
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: Meredith Grey | Statement: [The Pencil, referredPersonNotableRole, Meredith Grey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referredPersonNotableRole Context triple: [The Pencil, referredPersonNotableRole, Meredith Grey]
-
A.
namedPersonRole
Indicates that a person is identified by name as holding a specific role or position in a given context.
-
B.
notableRecipientRole
Indicates that an entity has received a notable award, honor, or recognition specifically in the capacity of a particular role or position.
-
C.
refersToPersonKnownFor
chosen
Indicates that one entity makes reference to a person who is notable or recognized for some specific role, achievement, or characteristic.
-
D.
notableVenueRole
Indicates that an entity holds or has held a significant functional role or position at a particular venue or location.
-
E.
notableHolderRole
Indicates that an entity is recognized for holding a particular role, office, or position in a notable or distinguished capacity.
- 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_69ef148940ec819097b5c20fbfbf7c81 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 27, 2026, 8:40 a.m.