Triple
T9646696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marli Bennett |
E233214
|
entity |
| Predicate | hasPaternalGrandmother |
P66167
|
FINISHED |
| Object |
Lisa Bennett
Lisa Bennett is the paternal grandmother of Marli Bennett.
|
E816065
|
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: Lisa Bennett | Statement: [Marli Bennett, hasPaternalGrandmother, Lisa Bennett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisa Bennett Context triple: [Marli Bennett, hasPaternalGrandmother, Lisa Bennett]
-
A.
Grace Bennett
Grace Bennett is the protagonist of the novel "Passions," around whom the story’s central emotional and dramatic conflicts revolve.
-
B.
Taylor Bennett
Taylor Bennett is an American rapper and songwriter from Chicago known for his independent releases and for being the younger brother of Chance the Rapper.
-
C.
Emma Moriarty
Emma Moriarty is the independent, recently divorced single mother who becomes the central romantic interest and emotional anchor in the film "Murphy's Romance."
-
D.
Elizabeth Kortright
Elizabeth Kortright was an American socialite who became First Lady of the United States as the wife of President James Monroe.
-
E.
Justine Waddell
Justine Waddell is a South African-born British actress known for her roles in period dramas and independent films, including the fantasy film "The Fall" (2006).
- 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: Lisa Bennett Triple: [Marli Bennett, hasPaternalGrandmother, Lisa Bennett]
Generated description
Lisa Bennett is the paternal grandmother of Marli Bennett.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lisa Bennett Target entity description: Lisa Bennett is the paternal grandmother of Marli Bennett.
-
A.
Grace Bennett
Grace Bennett is the protagonist of the novel "Passions," around whom the story’s central emotional and dramatic conflicts revolve.
-
B.
Taylor Bennett
Taylor Bennett is an American rapper and songwriter from Chicago known for his independent releases and for being the younger brother of Chance the Rapper.
-
C.
Emma Moriarty
Emma Moriarty is the independent, recently divorced single mother who becomes the central romantic interest and emotional anchor in the film "Murphy's Romance."
-
D.
Elizabeth Kortright
Elizabeth Kortright was an American socialite who became First Lady of the United States as the wife of President James Monroe.
-
E.
Justine Waddell
Justine Waddell is a South African-born British actress known for her roles in period dramas and independent films, including the fantasy film "The Fall" (2006).
- 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_69d19f6a7ddc8190b7e8add97b7dc257 |
completed | April 4, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69d1a022efd48190b0206bbdf3d93b9e |
completed | April 4, 2026, 11:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a09ae5b48190b4d0b01cd20ba140 |
completed | April 4, 2026, 11:36 p.m. |
Created at: March 30, 2026, 8:12 p.m.