Triple
T12043101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | She Wants Me |
E286712
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Darren Ritchie
Darren Ritchie is an American actor and singer known for his work in musical theatre and film.
|
E961139
|
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: Darren Ritchie | Statement: [She Wants Me, hasCastMember, Darren Ritchie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darren Ritchie Context triple: [She Wants Me, hasCastMember, Darren Ritchie]
-
A.
Derek Ritchie
Derek Ritchie is a television producer known for his work on British drama and genre series.
-
B.
Darren Smyth
Darren Smyth is a European patent attorney and commentator known for his work in intellectual property law and contributions to patent-related scholarship and discussion.
-
C.
Darren Morfitt
Darren Morfitt is a British actor known for his roles in television dramas and genre series, including appearances in Doctor Who.
-
D.
Darren Ward
Darren Ward is a former professional footballer best known as an English central defender who played for clubs including Watford, Millwall, Crystal Palace, and Wolverhampton Wanderers.
-
E.
Darren Emerson
Darren Emerson is an English DJ and electronic music producer best known for his influential work in the 1990s progressive house and techno scenes.
- 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: Darren Ritchie Triple: [She Wants Me, hasCastMember, Darren Ritchie]
Generated description
Darren Ritchie is an American actor and singer known for his work in musical theatre and film.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Darren Ritchie Target entity description: Darren Ritchie is an American actor and singer known for his work in musical theatre and film.
-
A.
Derek Ritchie
Derek Ritchie is a television producer known for his work on British drama and genre series.
-
B.
Darren Smyth
Darren Smyth is a European patent attorney and commentator known for his work in intellectual property law and contributions to patent-related scholarship and discussion.
-
C.
Darren Morfitt
Darren Morfitt is a British actor known for his roles in television dramas and genre series, including appearances in Doctor Who.
-
D.
Darren Ward
Darren Ward is a former professional footballer best known as an English central defender who played for clubs including Watford, Millwall, Crystal Palace, and Wolverhampton Wanderers.
-
E.
Darren Emerson
Darren Emerson is an English DJ and electronic music producer best known for his influential work in the 1990s progressive house and techno scenes.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9040d13108190bd1a969fa62aae5a |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49da728ec819080c349fd8d0ed62c |
completed | May 1, 2026, 12:33 p.m. |
| NEDg | Description generation | batch_69f53d9460bc8190869f2b7d095d98cb |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f56495830c8190ad5e1767f251b4c5 |
completed | May 2, 2026, 2:42 a.m. |
Created at: April 8, 2026, 9:47 p.m.