Triple
T33543002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conrad Smith |
E859123
|
entity |
| Predicate | formedNotablePartnershipWith |
P14988
|
FINISHED |
| Object | Ma'a Nonu |
—
|
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: Ma'a Nonu | Statement: [Conrad Smith, formedNotablePartnershipWith, Ma'a Nonu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formedNotablePartnershipWith Context triple: [Conrad Smith, formedNotablePartnershipWith, Ma'a Nonu]
-
A.
notablePartner
chosen
Indicates that two entities are or have been significant partners, typically in a prominent or noteworthy personal or professional relationship.
-
B.
endedPartnershipWith
Indicates that a previously existing partnership or collaborative relationship between two entities has been terminated.
-
C.
formedAsPartnershipBetween
Indicates that something was created or established through a formal partnership between two or more entities.
-
D.
partnerInBusinessOrPhilanthropyWith
Indicates a relationship where two entities collaborate as partners in either business ventures or philanthropic activities.
-
E.
operatesInClosePartnershipWith
Indicates a collaborative relationship in which two entities work together closely and continuously, coordinating their activities and decisions as near-partners.
- 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_69f3497a5be08190a39b12736899e034 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ffc516d1908190b475f5a6156b0ca8 |
completed | May 9, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69ffc4a946e08190b3535a5dc15ac484 |
completed | May 9, 2026, 11:35 p.m. |
Created at: May 1, 2026, 1:39 a.m.