Triple
T10682458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Off the Map |
E251790
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Zita Alvarez
Zita Alvarez is a fictional doctor featured in the medical drama television series "Off the Map."
|
E878910
|
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: Zita Alvarez | Statement: [Off the Map, character, Zita Alvarez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zita Alvarez Context triple: [Off the Map, character, Zita Alvarez]
-
A.
Alice Rivaz
Alice Rivaz was a Swiss novelist and short story writer known for her introspective, socially engaged portrayals of women's lives in 20th-century Switzerland.
-
B.
Andrea Zuckerman
Andrea Zuckerman is a driven, socially conscious honors student and school newspaper editor on the teen drama series "Beverly Hills, 90210."
-
C.
Elizabeth Raposo
Elizabeth Raposo is a film producer and former Paramount Pictures production executive known for overseeing and producing major studio projects, including Creed III.
-
D.
Nancy Zala
Nancy Zala was the wife of American actor and director Howard Da Silva.
-
E.
Michelle Zatlyn
Michelle Zatlyn is a Canadian entrepreneur and co-founder of Cloudflare, a major internet security and performance company, where she has served in key leadership roles helping to scale it globally.
- 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: Zita Alvarez Triple: [Off the Map, character, Zita Alvarez]
Generated description
Zita Alvarez is a fictional doctor featured in the medical drama television series "Off the Map."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zita Alvarez Target entity description: Zita Alvarez is a fictional doctor featured in the medical drama television series "Off the Map."
-
A.
Alice Rivaz
Alice Rivaz was a Swiss novelist and short story writer known for her introspective, socially engaged portrayals of women's lives in 20th-century Switzerland.
-
B.
Andrea Zuckerman
Andrea Zuckerman is a driven, socially conscious honors student and school newspaper editor on the teen drama series "Beverly Hills, 90210."
-
C.
Elizabeth Raposo
Elizabeth Raposo is a film producer and former Paramount Pictures production executive known for overseeing and producing major studio projects, including Creed III.
-
D.
Nancy Zala
Nancy Zala was the wife of American actor and director Howard Da Silva.
-
E.
Michelle Zatlyn
Michelle Zatlyn is a Canadian entrepreneur and co-founder of Cloudflare, a major internet security and performance company, where she has served in key leadership roles helping to scale it globally.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fcc30be481909922844b539b622d |
completed | April 9, 2026, 1:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9888cf7b481909de6a4fecb48cf4b |
completed | April 10, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69d98aea391c81909ec64a29053c35c1 |
completed | April 10, 2026, 11:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d98c013348819094bde38a057257b4 |
completed | April 10, 2026, 11:47 p.m. |
Created at: April 8, 2026, 9:10 p.m.