Triple
T22596111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fathers and Daughters |
E574684
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Jake Davis
Jake Davis is the emotionally troubled Pulitzer Prize–winning novelist and widowed father at the heart of the drama film "Fathers and Daughters."
|
E1546061
|
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: Jake Davis | Statement: [Fathers and Daughters, mainCharacter, Jake Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jake Davis Context triple: [Fathers and Daughters, mainCharacter, Jake Davis]
-
A.
Josh Davis
Josh Davis is the central protagonist of the drama film "People Like Us," around whom the story’s family and personal revelations unfold.
-
B.
Ryan Davis
Ryan Davis is a Ruby developer best known for creating the Minitest testing framework.
-
C.
Kevin Davis
Kevin Davis is a Canadian municipal politician who serves as the mayor of Brantford, Ontario.
-
D.
Nick Davis
Nick Davis is an American documentary filmmaker and author known for exploring cultural and historical subjects, including works related to his prominent Mankiewicz family heritage.
-
E.
Nick Davis
Nick Davis is a British record producer and audio engineer best known for his long-term work with Genesis and other rock artists.
- 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: Jake Davis Triple: [Fathers and Daughters, mainCharacter, Jake Davis]
Generated description
Jake Davis is the emotionally troubled Pulitzer Prize–winning novelist and widowed father at the heart of the drama film "Fathers and Daughters."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jake Davis Target entity description: Jake Davis is the emotionally troubled Pulitzer Prize–winning novelist and widowed father at the heart of the drama film "Fathers and Daughters."
-
A.
Josh Davis
Josh Davis is the central protagonist of the drama film "People Like Us," around whom the story’s family and personal revelations unfold.
-
B.
Ryan Davis
Ryan Davis is a Ruby developer best known for creating the Minitest testing framework.
-
C.
Kevin Davis
Kevin Davis is a Canadian municipal politician who serves as the mayor of Brantford, Ontario.
-
D.
Nick Davis
Nick Davis is an American documentary filmmaker and author known for exploring cultural and historical subjects, including works related to his prominent Mankiewicz family heritage.
-
E.
Nick Davis
Nick Davis is a British record producer and audio engineer best known for his long-term work with Genesis and other rock artists.
- 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_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f16268cb54819084a0f27ec0473f35 |
completed | April 29, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b4df558e8819096fc5446c268160e |
completed | May 18, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_6a0b50a38c6c8190bc8f9b9390bddbea |
completed | May 18, 2026, 5:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b5186819081909309126fa9169677 |
completed | May 18, 2026, 5:51 p.m. |
Created at: April 17, 2026, 2:50 p.m.