Triple
T18823987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line of Fire |
E460335
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Julie Ann Emery
Julie Ann Emery is an American actress known for her work in television and film, including roles in series such as "Better Call Saul" and "Preacher."
|
E1350084
|
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: Julie Ann Emery | Statement: [Line of Fire, castMember, Julie Ann Emery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julie Ann Emery Context triple: [Line of Fire, castMember, Julie Ann Emery]
-
A.
Jill Emery
Jill Emery is an American bassist best known for her work with the alternative rock band Hole and other influential underground rock acts.
-
B.
Julie Hickson
Julie Hickson is a film producer best known for her work on Tim Burton’s early short film "Frankenweenie" (1984).
-
C.
Lisa Emery
Lisa Emery is an American actress best known for her role as the ruthless heroin distributor Darlene Snell in the Netflix crime drama series "Ozark."
-
D.
Julie Lynn
Julie Lynn is an American film producer known for her work on independent and critically acclaimed movies.
-
E.
Joyce Emrick
Joyce Emrick is the wife of renowned American sportscaster Mike "Doc" Emrick and is known primarily for her long-standing support of his broadcasting career.
- 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: Julie Ann Emery Triple: [Line of Fire, castMember, Julie Ann Emery]
Generated description
Julie Ann Emery is an American actress known for her work in television and film, including roles in series such as "Better Call Saul" and "Preacher."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Julie Ann Emery Target entity description: Julie Ann Emery is an American actress known for her work in television and film, including roles in series such as "Better Call Saul" and "Preacher."
-
A.
Jill Emery
Jill Emery is an American bassist best known for her work with the alternative rock band Hole and other influential underground rock acts.
-
B.
Julie Hickson
Julie Hickson is a film producer best known for her work on Tim Burton’s early short film "Frankenweenie" (1984).
-
C.
Lisa Emery
Lisa Emery is an American actress best known for her role as the ruthless heroin distributor Darlene Snell in the Netflix crime drama series "Ozark."
-
D.
Julie Lynn
Julie Lynn is an American film producer known for her work on independent and critically acclaimed movies.
-
E.
Joyce Emrick
Joyce Emrick is the wife of renowned American sportscaster Mike "Doc" Emrick and is known primarily for her long-standing support of his broadcasting career.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6bce5588190bd0aefcd0c51edad |
completed | April 20, 2026, 4:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0590fe846c8190a2d31f7b847382e5 |
completed | May 14, 2026, 9:08 a.m. |
| NEDg | Description generation | batch_6a05956b9c2081909f358709562aa9c9 |
completed | May 14, 2026, 9:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0595c7c70081909ab778baf172db0e |
completed | May 14, 2026, 9:28 a.m. |
Created at: April 10, 2026, 11:56 a.m.