Triple
T9459860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green for Danger |
E228116
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Megs Jenkins
Megs Jenkins was a British character actress known for her warm, often maternal roles in mid-20th-century film, television, and theatre.
|
E860851
|
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: Megs Jenkins | Statement: [Green for Danger, castMember, Megs Jenkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Megs Jenkins Context triple: [Green for Danger, castMember, Megs Jenkins]
-
A.
Nessa Jenkins
Nessa Jenkins is a deadpan, no-nonsense Welsh character from the British sitcom "Gavin & Stacey," known for her eccentric stories and iconic catchphrases.
-
B.
Vicky McGee
Vicky McGee is the young girl with powerful pyrokinetic abilities who serves as the central protagonist in Stephen King's novel "Firestarter."
-
C.
Teri Hudson
Teri Hudson is the wife of Stanley Hudson, a character from the American television series "The Office."
-
D.
Bridget Mason
Bridget Mason is a woman known primarily as the daughter of Sir Joseph Mason.
-
E.
Kimberly Reese
Kimberly Reese is a diligent, ambitious college student and close friend of Whitley Gilbert on the sitcom "A Different World," known for her academic drive and grounded personality.
- 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: Megs Jenkins Triple: [Green for Danger, castMember, Megs Jenkins]
Generated description
Megs Jenkins was a British character actress known for her warm, often maternal roles in mid-20th-century film, television, and theatre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Megs Jenkins Target entity description: Megs Jenkins was a British character actress known for her warm, often maternal roles in mid-20th-century film, television, and theatre.
-
A.
Nessa Jenkins
Nessa Jenkins is a deadpan, no-nonsense Welsh character from the British sitcom "Gavin & Stacey," known for her eccentric stories and iconic catchphrases.
-
B.
Vicky McGee
Vicky McGee is the young girl with powerful pyrokinetic abilities who serves as the central protagonist in Stephen King's novel "Firestarter."
-
C.
Teri Hudson
Teri Hudson is the wife of Stanley Hudson, a character from the American television series "The Office."
-
D.
Bridget Mason
Bridget Mason is a woman known primarily as the daughter of Sir Joseph Mason.
-
E.
Kimberly Reese
Kimberly Reese is a diligent, ambitious college student and close friend of Whitley Gilbert on the sitcom "A Different World," known for her academic drive and grounded personality.
- 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_69ca843b123881909b0e60028475d12d |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fc916348190aeb3874a89071677 |
completed | April 1, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d79445b9288190a684184285966fa8 |
completed | April 9, 2026, 11:57 a.m. |
| NEDg | Description generation | batch_69d7bdde34408190a047ede29b91e182 |
completed | April 9, 2026, 2:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7e5fc6a008190b2a2326840074b53 |
completed | April 9, 2026, 5:46 p.m. |
Created at: March 30, 2026, 7:52 p.m.