Triple
T13791883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L.A.'s Finest |
E331417
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Nancy McKenna
Nancy McKenna is a tough, street-smart LAPD detective and former career criminal portrayed by Jessica Alba in the action-comedy television series "L.A.'s Finest."
|
E1222404
|
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: Nancy McKenna | Statement: [L.A.'s Finest, mainCharacter, Nancy McKenna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nancy McKenna Context triple: [L.A.'s Finest, mainCharacter, Nancy McKenna]
-
A.
Nancy McEldowney
Nancy McEldowney is an American diplomat and national security official who has held senior foreign policy roles in the U.S. government, including service as a top White House advisor.
-
B.
Ann McKean
Ann McKean was a daughter of Thomas McKean, a prominent American Founding Father and signer of the Declaration of Independence.
-
C.
Nancy Mack
Nancy Mack is an American entrepreneur best known as a co-founder of the specialty tea retailer Teavana.
-
D.
Nancy Mack
Nancy Mack is known as the wife of Andrew Mack.
-
E.
Nora McMullen
Nora McMullen was the wife of American financier and U.S. Treasury Secretary Andrew W. Mellon, known primarily for her marriage into the prominent Mellon family.
- 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: Nancy McKenna Triple: [L.A.'s Finest, mainCharacter, Nancy McKenna]
Generated description
Nancy McKenna is a tough, street-smart LAPD detective and former career criminal portrayed by Jessica Alba in the action-comedy television series "L.A.'s Finest."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nancy McKenna Target entity description: Nancy McKenna is a tough, street-smart LAPD detective and former career criminal portrayed by Jessica Alba in the action-comedy television series "L.A.'s Finest."
-
A.
Nancy McEldowney
Nancy McEldowney is an American diplomat and national security official who has held senior foreign policy roles in the U.S. government, including service as a top White House advisor.
-
B.
Ann McKean
Ann McKean was a daughter of Thomas McKean, a prominent American Founding Father and signer of the Declaration of Independence.
-
C.
Nancy Mack
Nancy Mack is an American entrepreneur best known as a co-founder of the specialty tea retailer Teavana.
-
D.
Nancy Mack
Nancy Mack is known as the wife of Andrew Mack.
-
E.
Nora McMullen
Nora McMullen was the wife of American financier and U.S. Treasury Secretary Andrew W. Mellon, known primarily for her marriage into the prominent Mellon family.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0258a1408190a837d17c6d6a2bd4 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007581ba008190a6d558c8f4e861d6 |
completed | May 10, 2026, 12:09 p.m. |
| NEDg | Description generation | batch_6a007680bc7c81908c81ad690035ed47 |
completed | May 10, 2026, 12:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007728680c819082a3bd7e84edb2b0 |
completed | May 10, 2026, 12:16 p.m. |
Created at: April 9, 2026, 10:11 p.m.