Triple
T173435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falcon Crest |
E3525
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Lauren Daniels
Lauren Daniels is a fictional character from the American prime-time television soap opera "Falcon Crest."
|
E81259
|
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: Lauren Daniels | Statement: [Falcon Crest, hasCharacter, Lauren Daniels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauren Daniels Context triple: [Falcon Crest, hasCharacter, Lauren Daniels]
-
A.
Jessyca Wilson
Jessyca Wilson is a songwriter best known for her work on the track "Save Room."
-
B.
Erin McDermott
Erin McDermott is a collegiate sports administrator best known as the athletic director at Harvard University.
-
C.
Megan Davis
Megan Davis is an Australian constitutional lawyer and Indigenous rights advocate renowned for her leadership in advancing Aboriginal and Torres Strait Islander peoples’ rights and constitutional recognition.
-
D.
Tanita Strahan
Tanita Strahan is an American visual artist and the eldest daughter of former NFL star and television personality Michael Strahan.
-
E.
Elissa Leonard
Elissa Leonard is an American filmmaker and producer known for her work in documentary and independent film, as well as for being married to Federal Reserve Chair Jerome H. Powell.
- 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: Lauren Daniels Triple: [Falcon Crest, hasCharacter, Lauren Daniels]
Generated description
Lauren Daniels is a fictional character from the American prime-time television soap opera "Falcon Crest."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lauren Daniels Target entity description: Lauren Daniels is a fictional character from the American prime-time television soap opera "Falcon Crest."
-
A.
Jessyca Wilson
Jessyca Wilson is a songwriter best known for her work on the track "Save Room."
-
B.
Erin McDermott
Erin McDermott is a collegiate sports administrator best known as the athletic director at Harvard University.
-
C.
Megan Davis
Megan Davis is an Australian constitutional lawyer and Indigenous rights advocate renowned for her leadership in advancing Aboriginal and Torres Strait Islander peoples’ rights and constitutional recognition.
-
D.
Tanita Strahan
Tanita Strahan is an American visual artist and the eldest daughter of former NFL star and television personality Michael Strahan.
-
E.
Elissa Leonard
Elissa Leonard is an American filmmaker and producer known for her work in documentary and independent film, as well as for being married to Federal Reserve Chair Jerome H. Powell.
- 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_69a25374990081909766d30c79a18e0e |
completed | Feb. 28, 2026, 2:31 a.m. |
| NER | Named-entity recognition | batch_69a258e1ec008190a89dd452f72574f4 |
completed | Feb. 28, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a58030d0e48190a6390478e62f8659 |
completed | March 2, 2026, 12:18 p.m. |
| NEDg | Description generation | batch_69a582410b008190a4f354b354e27c31 |
completed | March 2, 2026, 12:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a582eb73c08190982a7fa6bbee536f |
completed | March 2, 2026, 12:30 p.m. |
Created at: Feb. 28, 2026, 2:39 a.m.