Triple
T17693322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan Fletcher |
E441089
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Jennifer Hansen
Jennifer Hansen is an Australian television news presenter and journalist, best known for her work with Network Ten.
|
E1300863
|
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: Jennifer Hansen | Statement: [Alan Fletcher, spouse, Jennifer Hansen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer Hansen Context triple: [Alan Fletcher, spouse, Jennifer Hansen]
-
A.
Kelly Hansen
Kelly Hansen is an American rock singer best known as the lead vocalist of the band Foreigner.
-
B.
Jane Hansen
Jane Hansen is known as the wife of legendary American composer and songwriter Burt Bacharach.
-
C.
Maya Hansen
Maya Hansen is a brilliant botanist and geneticist in the Marvel Cinematic Universe whose Extremis research plays a pivotal role in the events of Iron Man 3.
-
D.
Michelle Christensen
Michelle Christensen is an American automotive designer best known as the lead exterior designer of the Acura ZDX and one of the first women to head the design of a supercar for a major automaker.
-
E.
Erika Henningsen
Erika Henningsen is an American stage actress and singer best known for originating the role of Cady Heron in the Broadway musical adaptation of "Mean Girls."
- 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: Jennifer Hansen Triple: [Alan Fletcher, spouse, Jennifer Hansen]
Generated description
Jennifer Hansen is an Australian television news presenter and journalist, best known for her work with Network Ten.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jennifer Hansen Target entity description: Jennifer Hansen is an Australian television news presenter and journalist, best known for her work with Network Ten.
-
A.
Kelly Hansen
Kelly Hansen is an American rock singer best known as the lead vocalist of the band Foreigner.
-
B.
Jane Hansen
Jane Hansen is known as the wife of legendary American composer and songwriter Burt Bacharach.
-
C.
Maya Hansen
Maya Hansen is a brilliant botanist and geneticist in the Marvel Cinematic Universe whose Extremis research plays a pivotal role in the events of Iron Man 3.
-
D.
Michelle Christensen
Michelle Christensen is an American automotive designer best known as the lead exterior designer of the Acura ZDX and one of the first women to head the design of a supercar for a major automaker.
-
E.
Erika Henningsen
Erika Henningsen is an American stage actress and singer best known for originating the role of Cady Heron in the Broadway musical adaptation of "Mean Girls."
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47153a5c8819095c36fd414167fb1 |
completed | April 19, 2026, 6:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03430c26708190a12069df95f760de |
completed | May 12, 2026, 3:11 p.m. |
| NEDg | Description generation | batch_6a0343b583088190bbafd4ef3aad5218 |
completed | May 12, 2026, 3:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03445d9d208190b2d72012c4b4407f |
completed | May 12, 2026, 3:16 p.m. |
Created at: April 10, 2026, 10:04 a.m.