Triple
T19663681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Couples |
E472146
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Angela Hanema
Angela Hanema is a fictional character featured in the narrative work "Couples."
|
E1388242
|
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: Angela Hanema | Statement: [Couples, hasCharacter, Angela Hanema]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angela Hanema Context triple: [Couples, hasCharacter, Angela Hanema]
-
A.
Angela Abar
Angela Abar is the masked vigilante Sister Night and central protagonist of the HBO series "Watchmen," navigating themes of race, trauma, and legacy in an alternate-history America.
-
B.
Angela Weber
Angela Weber is a kind, soft-spoken classmate of Bella Swan in the Twilight series, known for her quiet loyalty and supportive nature.
-
C.
Angela Loy
Angela Loy is a musician best known as a member of the 1990s American indie pop band Tiger Trap.
-
D.
Felicia Hano
Felicia Hano is an American artistic gymnast and former elite competitor who became a standout collegiate gymnast for the UCLA Bruins.
-
E.
Helen Ahn
Helen Ahn is a member of the Ahn family, known primarily as the child of Korean-American actor Philip Ahn.
- 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: Angela Hanema Triple: [Couples, hasCharacter, Angela Hanema]
Generated description
Angela Hanema is a fictional character featured in the narrative work "Couples."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Angela Hanema Target entity description: Angela Hanema is a fictional character featured in the narrative work "Couples."
-
A.
Angela Abar
Angela Abar is the masked vigilante Sister Night and central protagonist of the HBO series "Watchmen," navigating themes of race, trauma, and legacy in an alternate-history America.
-
B.
Angela Weber
Angela Weber is a kind, soft-spoken classmate of Bella Swan in the Twilight series, known for her quiet loyalty and supportive nature.
-
C.
Angela Loy
Angela Loy is a musician best known as a member of the 1990s American indie pop band Tiger Trap.
-
D.
Felicia Hano
Felicia Hano is an American artistic gymnast and former elite competitor who became a standout collegiate gymnast for the UCLA Bruins.
-
E.
Helen Ahn
Helen Ahn is a member of the Ahn family, known primarily as the child of Korean-American actor Philip Ahn.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6416671fc81908e25b0477234fa0f |
completed | April 20, 2026, 3:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a077ef7a9ec8190a86623fbd0c9fe00 |
completed | May 15, 2026, 8:15 p.m. |
| NEDg | Description generation | batch_6a07817a4748819081bbeff65e18d533 |
completed | May 15, 2026, 8:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0782a6f66881909f88781f8f6c5b8f |
completed | May 15, 2026, 8:31 p.m. |
Created at: April 10, 2026, 1:45 p.m.