Triple
T9646274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Langer |
E233201
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Lydia Langer
Lydia Langer was the wife of American historian and Harvard professor William L. Langer.
|
E812913
|
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: Lydia Langer | Statement: [William Langer, spouse, Lydia Langer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lydia Langer Context triple: [William Langer, spouse, Lydia Langer]
-
A.
Maria Langer
Maria Langer is an American author, helicopter pilot, and technology writer known for her instructional books and articles on software and aviation.
-
B.
Carla Langer
Carla Langer is a fictional character known as a member of Clyde Langer’s family in the Doctor Who spin-off series "The Sarah Jane Adventures."
-
C.
Elizabeth Baur
Elizabeth Baur was an American television actress best known for her role as Officer Fran Belding on the crime drama series "Ironside."
-
D.
Lydia Brenner
Lydia Brenner is a central character in Alfred Hitchcock's 1963 horror film "The Birds," portrayed as Mitch Brenner's protective and emotionally fragile mother.
-
E.
Jessica Langer
Jessica Langer is a scholar and writer known for her work in postcolonial studies, popular culture, and speculative fiction.
- 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: Lydia Langer Triple: [William Langer, spouse, Lydia Langer]
Generated description
Lydia Langer was the wife of American historian and Harvard professor William L. Langer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lydia Langer Target entity description: Lydia Langer was the wife of American historian and Harvard professor William L. Langer.
-
A.
Maria Langer
Maria Langer is an American author, helicopter pilot, and technology writer known for her instructional books and articles on software and aviation.
-
B.
Carla Langer
Carla Langer is a fictional character known as a member of Clyde Langer’s family in the Doctor Who spin-off series "The Sarah Jane Adventures."
-
C.
Elizabeth Baur
Elizabeth Baur was an American television actress best known for her role as Officer Fran Belding on the crime drama series "Ironside."
-
D.
Lydia Brenner
Lydia Brenner is a central character in Alfred Hitchcock's 1963 horror film "The Birds," portrayed as Mitch Brenner's protective and emotionally fragile mother.
-
E.
Jessica Langer
Jessica Langer is a scholar and writer known for her work in postcolonial studies, popular culture, and speculative fiction.
- 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_69ca848b31648190b57aa55da20285be |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b8122148190bd0af3a04b21e53e |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a00a87081909d1e59aa7192a69c |
completed | April 4, 2026, 10 p.m. |
| NEDg | Description generation | batch_69d18ab1239c8190b4a66ccd0db35ffb |
completed | April 4, 2026, 10:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18b7f7510819083a402d6802c7d95 |
completed | April 4, 2026, 10:06 p.m. |
Created at: March 30, 2026, 8:12 p.m.