Triple
T15554385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander M. Patch |
E370829
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Julia Patch
Julia Patch is the daughter of U.S. Army General Alexander M. Patch, a prominent American military leader during World War II.
|
E1163920
|
NE FINISHED |
How this triple was built (4 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: Julia Patch | Statement: [Alexander M. Patch, hasChild, Julia Patch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julia Patch Context triple: [Alexander M. Patch, hasChild, Julia Patch]
-
A.
Juliaetta
Juliaetta is a small rural city in north-central Idaho, known for its agricultural surroundings and location in the Clearwater River region.
-
B.
Julia Maddon
Julia Maddon is a key supporting character in the "Need for Speed" film, serving as Tobey Marshall’s determined and resourceful ally in his quest for justice.
-
C.
Julianna
Julianna is a feminine given name most notably borne by American actress Julianna Margulies.
-
D.
Julia Graves
Julia Graves was the wife of American lawyer and steel industry magnate Elbert H. Gary, the founding chairman of U.S. Steel.
-
E.
Julia Paula
Julia Paula was a Roman noblewoman who briefly served as empress as the first wife of Emperor Elagabalus in the early 3rd century.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Julia Patch Triple: [Alexander M. Patch, hasChild, Julia Patch]
Generated description
Julia Patch is the daughter of U.S. Army General Alexander M. Patch, a prominent American military leader during World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Julia Patch Target entity description: Julia Patch is the daughter of U.S. Army General Alexander M. Patch, a prominent American military leader during World War II.
-
A.
Juliaetta
Juliaetta is a small rural city in north-central Idaho, known for its agricultural surroundings and location in the Clearwater River region.
-
B.
Julia Maddon
Julia Maddon is a key supporting character in the "Need for Speed" film, serving as Tobey Marshall’s determined and resourceful ally in his quest for justice.
-
C.
Julianna
Julianna is a feminine given name most notably borne by American actress Julianna Margulies.
-
D.
Julia Graves
Julia Graves was the wife of American lawyer and steel industry magnate Elbert H. Gary, the founding chairman of U.S. Steel.
-
E.
Julia Paula
Julia Paula was a Roman noblewoman who briefly served as empress as the first wife of Emperor Elagabalus in the early 3rd century.
- F. None of above. chosen
Provenance (5 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a96c0c88190808f68601a36b506 |
completed | April 16, 2026, 2:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff456209288190aba6debd434af741 |
completed | May 9, 2026, 2:32 p.m. |
| NEDg | Description generation | batch_69ff471cb68c8190924e894b190f15f4 |
completed | May 9, 2026, 2:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff47aeddac8190a87024019ecb1396 |
completed | May 9, 2026, 2:41 p.m. |
Created at: April 10, 2026, 4:09 a.m.