Triple
T13065128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chrissy Metz |
E329301
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Metz
Metz is a German-origin surname borne by various notable individuals, including American actress Chrissy Metz.
|
E1025895
|
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: Metz | Statement: [Chrissy Metz, familyName, Metz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metz Context triple: [Chrissy Metz, familyName, Metz]
-
A.
Metz
Metz is a historic city in northeastern France known for its Gothic Saint-Stephen Cathedral, Roman and medieval heritage, and role as the capital of the Moselle department in the Grand Est region.
-
B.
Metz
Metz is a small rural village located in Vernon County in western Missouri, United States.
-
C.
Metz Métropole
Metz Métropole is an intercommunal metropolitan authority in northeastern France that coordinates urban planning, economic development, and public services for Metz and its surrounding municipalities.
-
D.
Maubeuge
Maubeuge is a fortified industrial town in northern France near the Belgian border, historically significant for its strategic military position.
-
E.
Bois-le-Duc
Bois-le-Duc is the French name for ’s-Hertogenbosch, a historic Dutch city known for its medieval architecture and cultural heritage in the southern Netherlands.
- 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: Metz Triple: [Chrissy Metz, familyName, Metz]
Generated description
Metz is a German-origin surname borne by various notable individuals, including American actress Chrissy Metz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Metz Target entity description: Metz is a German-origin surname borne by various notable individuals, including American actress Chrissy Metz.
-
A.
Metz
Metz is a historic city in northeastern France known for its Gothic Saint-Stephen Cathedral, Roman and medieval heritage, and role as the capital of the Moselle department in the Grand Est region.
-
B.
Metz
Metz is a small rural village located in Vernon County in western Missouri, United States.
-
C.
Metz Métropole
Metz Métropole is an intercommunal metropolitan authority in northeastern France that coordinates urban planning, economic development, and public services for Metz and its surrounding municipalities.
-
D.
Maubeuge
Maubeuge is a fortified industrial town in northern France near the Belgian border, historically significant for its strategic military position.
-
E.
Bois-le-Duc
Bois-le-Duc is the French name for ’s-Hertogenbosch, a historic Dutch city known for its medieval architecture and cultural heritage in the southern Netherlands.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980eb81948190b27eb9ae19978079 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5c771fc8190afb6b0f449c67294 |
completed | May 3, 2026, 7:14 a.m. |
| NEDg | Description generation | batch_69f6f694f8c48190adce4cddbf63777f |
completed | May 3, 2026, 7:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f7d8bfa0819097b3d9175bc56933 |
completed | May 3, 2026, 7:23 a.m. |
Created at: April 9, 2026, 8:59 p.m.