Triple
T23112865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dylan Field |
E576368
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dylan Field |
—
|
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: Dylan Field | Statement: [Dylan Field, name, Dylan Field]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dylan Field Context triple: [Dylan Field, name, Dylan Field]
-
A.
Dylan Field
chosen
Dylan Field is an American technology entrepreneur best known as the co-founder and CEO of the collaborative design platform Figma.
-
B.
Darby Field
Darby Field was a 17th-century explorer credited as the first recorded European to climb Mount Washington in New Hampshire.
-
C.
Maestri Field
Maestri Field is a baseball stadium in New Orleans that serves as the home field for the University of New Orleans Privateers baseball team.
-
D.
Drake Field
Drake Field is a public airport serving the city of Fayetteville in northwest Arkansas.
-
E.
Dacey Field
Dacey Field is a public recreational sports complex in Franklin, Massachusetts, commonly used for local athletics and community events.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245f4af548190898d434a64a1e774 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e100d408190a7349563235640d5 |
completed | April 29, 2026, 4:50 a.m. |
Created at: April 17, 2026, 3:58 p.m.