Triple
T20648330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morgan Hurd |
E507418
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Morgan Hurd |
—
|
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: Morgan Hurd | Statement: [Morgan Hurd, name, Morgan Hurd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morgan Hurd Context triple: [Morgan Hurd, name, Morgan Hurd]
-
A.
Morgan Hurd
chosen
Morgan Hurd is an American artistic gymnast and world all-around champion who has represented the United States at major international competitions, including the World Championships.
-
B.
Tatiana Hurd
Tatiana Hurd is the wife of British Conservative politician and former Foreign Secretary Douglas Hurd.
-
C.
Carly Patterson
Carly Patterson is an American artistic gymnast best known for winning the all-around gold medal at the 2004 Athens Olympic Games.
-
D.
Kimberly Breland
Kimberly Breland is a character portrayed by Julia Garner in the television series "The Americans."
-
E.
Jordyn Wieber
Jordyn Wieber is an American artistic gymnast and 2012 Olympic team gold medalist who later became a prominent NCAA coach and gymnastics advocate.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1fbfa881908a5b9db143e362d0 |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.