Triple
T5844737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jane Seymour |
E129679
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Geoffrey Planer
Geoffrey Planer is a British theatre director best known for his brief marriage to actress Jane Seymour.
|
E553739
|
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: Geoffrey Planer | Statement: [Jane Seymour, spouse, Geoffrey Planer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geoffrey Planer Context triple: [Jane Seymour, spouse, Geoffrey Planer]
-
A.
Geoffrey Will
Geoffrey Will is the son of prominent American conservative political commentator and columnist George F. Will.
-
B.
Geoffrey Unsworth
Geoffrey Unsworth was a renowned British cinematographer celebrated for his visually rich work on numerous classic films of the 1960s and 1970s.
-
C.
Geoffrey Lawrence
Geoffrey Lawrence was a British judge best known for serving as the presiding judge at the Nuremberg war crimes trials after World War II.
-
D.
Geoffrey Gardner
Geoffrey Gardner is a sports administrator best known for his leadership role as a vice president within World Athletics, the international governing body for track and field.
-
E.
Geoffry Powell
Geoffry Powell was a British architect best known as one of the designers of London's influential Barbican Estate, a landmark of post-war modernist architecture.
- 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: Geoffrey Planer Triple: [Jane Seymour, spouse, Geoffrey Planer]
Generated description
Geoffrey Planer is a British theatre director best known for his brief marriage to actress Jane Seymour.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Geoffrey Planer Target entity description: Geoffrey Planer is a British theatre director best known for his brief marriage to actress Jane Seymour.
-
A.
Geoffrey Will
Geoffrey Will is the son of prominent American conservative political commentator and columnist George F. Will.
-
B.
Geoffrey Unsworth
Geoffrey Unsworth was a renowned British cinematographer celebrated for his visually rich work on numerous classic films of the 1960s and 1970s.
-
C.
Geoffrey Lawrence
Geoffrey Lawrence was a British judge best known for serving as the presiding judge at the Nuremberg war crimes trials after World War II.
-
D.
Geoffrey Gardner
Geoffrey Gardner is a sports administrator best known for his leadership role as a vice president within World Athletics, the international governing body for track and field.
-
E.
Geoffry Powell
Geoffry Powell was a British architect best known as one of the designers of London's influential Barbican Estate, a landmark of post-war modernist architecture.
- 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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c034db104881908c230de0e869f64b |
completed | March 22, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b0fb0f68819091018926ee4c7bb8 |
completed | March 23, 2026, 3:18 a.m. |
| NEDg | Description generation | batch_69c0b1cb731481909de9c3fde3595b7b |
completed | March 23, 2026, 3:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0b27f53608190b2a1f78e3cd1b634 |
completed | March 23, 2026, 3:24 a.m. |
Created at: March 22, 2026, 3:55 p.m.