Triple
T7793775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baldwin II of Constantinople |
E180246
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Baldwin
Baldwin is a masculine given name of Germanic origin that has been borne by various European nobles and historical figures.
|
E693952
|
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: Baldwin | Statement: [Baldwin II of Constantinople, givenName, Baldwin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baldwin Context triple: [Baldwin II of Constantinople, givenName, Baldwin]
-
A.
Baldwin
Baldwin is a common English surname of Anglo-Saxon origin that has been borne by numerous notable figures in literature, politics, and entertainment.
-
B.
Baldwin
Baldwin is a small rural community located within the town of Georgina in Ontario, Canada.
-
C.
Baldwin
Baldwin is a small township and rural community located within Ontario’s Sudbury District in Canada.
-
D.
Butler
Butler is a city in Pennsylvania that serves as the administrative and economic center of Butler County.
-
E.
Butler
Butler is the party that served as the defendant in the landmark U.S. Supreme Court case United States v. Butler, which addressed the constitutionality of certain New Deal agricultural policies.
- 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: Baldwin Triple: [Baldwin II of Constantinople, givenName, Baldwin]
Generated description
Baldwin is a masculine given name of Germanic origin that has been borne by various European nobles and historical figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baldwin Target entity description: Baldwin is a masculine given name of Germanic origin that has been borne by various European nobles and historical figures.
-
A.
Baldwin
Baldwin is a common English surname of Anglo-Saxon origin that has been borne by numerous notable figures in literature, politics, and entertainment.
-
B.
Baldwin
Baldwin is a small rural community located within the town of Georgina in Ontario, Canada.
-
C.
Baldwin
Baldwin is a small township and rural community located within Ontario’s Sudbury District in Canada.
-
D.
Butler
Butler is a city in Pennsylvania that serves as the administrative and economic center of Butler County.
-
E.
Butler
Butler is the party that served as the defendant in the landmark U.S. Supreme Court case United States v. Butler, which addressed the constitutionality of certain New Deal agricultural policies.
- 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_69ca827d22208190b4dc5aa680edcf5d |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cae939c7388190b36d3e746be27a4d |
completed | March 30, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb13dbe1f88190bde2c5c76dcfeb8f |
completed | March 31, 2026, 12:22 a.m. |
| NEDg | Description generation | batch_69cb1730900c8190bc0322c4b6a3772f |
completed | March 31, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb1a3e6da08190bf4f82b59db41333 |
completed | March 31, 2026, 12:50 a.m. |
Created at: March 30, 2026, 4:31 p.m.