Triple
T29092320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Megan Twohey |
E734885
|
entity |
| Predicate | hasAwardTogetherWith |
P15164
|
FINISHED |
| Object | Jodi Kantor |
—
|
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: Jodi Kantor | Statement: [Megan Twohey, hasAwardTogetherWith, Jodi Kantor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardTogetherWith Context triple: [Megan Twohey, hasAwardTogetherWith, Jodi Kantor]
-
A.
awardedJointlyWith
chosen
Indicates that an award or honor is given to one entity together with another entity as co-recipients.
-
B.
awardsDegreeInCollaborationWith
Indicates that a degree is awarded jointly by one institution or entity in partnership or collaboration with another.
-
C.
hasSeparateAwardFor
Indicates that there exists a distinct, dedicated award specifically recognizing the related entity, separate from other general or combined awards.
-
D.
laterAlsoAwardedTo
Indicates that an award or recognition initially given to one entity was subsequently also given to another entity at a later time.
-
E.
mayBeAwardedWith
Indicates that an entity has the potential or eligibility to receive a particular award or distinction.
- 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_69f05b0ed66481908f2e864fa550d2f1 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6617e62fc8190b9a935835fc82bfa |
completed | May 2, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 11:06 a.m.