Triple
T18825066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Heir Apparent: Largo Winch |
E460362
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Ann Ferguson
Ann Ferguson is a key character in the Largo Winch universe, serving as a powerful and often morally ambiguous corporate figure who plays a central role in the intrigue surrounding the Winch empire.
|
E1381526
|
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: Ann Ferguson | Statement: [The Heir Apparent: Largo Winch, character, Ann Ferguson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ann Ferguson Context triple: [The Heir Apparent: Largo Winch, character, Ann Ferguson]
-
A.
Lynn Ferguson
Lynn Ferguson is a Scottish writer, comedian, and actress best known for voicing the character Mac in the animated film "Chicken Run."
-
B.
Emma Ferguson
Emma Ferguson is a Scottish actress and the wife of Take That singer Mark Owen.
-
C.
Julie Ferguson
Julie Ferguson is the wife of the late American actor and comedian Charles Grodin.
-
D.
Karen Fergusson
Karen Fergusson is an actress known for her role in the acclaimed New Zealand biographical drama film "An Angel at My Table."
-
E.
Ann Marshall
Ann Marshall is known primarily as the daughter of Thomas Marshall.
- 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: Ann Ferguson Triple: [The Heir Apparent: Largo Winch, character, Ann Ferguson]
Generated description
Ann Ferguson is a key character in the Largo Winch universe, serving as a powerful and often morally ambiguous corporate figure who plays a central role in the intrigue surrounding the Winch empire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ann Ferguson Target entity description: Ann Ferguson is a key character in the Largo Winch universe, serving as a powerful and often morally ambiguous corporate figure who plays a central role in the intrigue surrounding the Winch empire.
-
A.
Lynn Ferguson
Lynn Ferguson is a Scottish writer, comedian, and actress best known for voicing the character Mac in the animated film "Chicken Run."
-
B.
Emma Ferguson
Emma Ferguson is a Scottish actress and the wife of Take That singer Mark Owen.
-
C.
Julie Ferguson
Julie Ferguson is the wife of the late American actor and comedian Charles Grodin.
-
D.
Karen Fergusson
Karen Fergusson is an actress known for her role in the acclaimed New Zealand biographical drama film "An Angel at My Table."
-
E.
Ann Marshall
Ann Marshall is known primarily as the daughter of Thomas Marshall.
- 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_69e5a6bdefac8190892d6fd5c20a431e |
completed | April 20, 2026, 4:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074e614d3081909260cfd7d26ee5df |
completed | May 15, 2026, 4:48 p.m. |
| NEDg | Description generation | batch_6a074f0534608190bebba043babdbc8b |
completed | May 15, 2026, 4:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a074fbaca3c8190a34dbb6fd4ed1844 |
completed | May 15, 2026, 4:54 p.m. |
Created at: April 10, 2026, 11:56 a.m.