Triple
T23970652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guinness World Record for most films produced by an individual |
E604218
|
entity |
| Predicate | goalOfApplicants |
P64674
|
FINISHED |
| Object | to be recognized as the most prolific film producer in history |
—
|
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: to be recognized as the most prolific film producer in history | Statement: [Guinness World Record for most films produced by an individual, goalOfApplicants, to be recognized as the most prolific film producer in history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalOfApplicants Context triple: [Guinness World Record for most films produced by an individual, goalOfApplicants, to be recognized as the most prolific film producer in history]
-
A.
applicantIn
Indicates that a person or entity is serving as an applicant within a particular context, process, or organization.
-
B.
aimOf
chosen
Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
-
C.
applicantType
Indicates the classification or category of an applicant in relation to an application or selection process.
-
D.
collegeGoalsRecord
Indicates that a record documents a person's goals related to their college education.
-
E.
educationGoal
Indicates a relationship where an entity has a specific educational aim, objective, or intended learning outcome it is working toward.
- 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_69e29543019c8190872462e593cc50b4 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d1dc3f088190a55faf6f01ddf4bf |
completed | April 29, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:25 p.m.