Triple
T14484937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yara Greyjoy |
E359202
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Gemma Whelan
Gemma Whelan is a British actress and comedian best known for playing Yara Greyjoy in the television series "Game of Thrones."
|
E1112427
|
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: Gemma Whelan | Statement: [Yara Greyjoy, portrayedBy, Gemma Whelan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gemma Whelan Context triple: [Yara Greyjoy, portrayedBy, Gemma Whelan]
-
A.
Gemma Ward
Gemma Ward is an Australian fashion model and actress who rose to prominence in the early 2000s as one of the youngest and most influential faces in high-fashion modeling.
-
B.
Gemma Gallagher
Gemma Gallagher is the daughter of English singer and former Oasis frontman Liam Gallagher.
-
C.
Gemma Baker
Gemma Baker is a television writer and producer best known for co-creating and executive producing the CBS sitcom "Mom."
-
D.
Gemma Jackson
Gemma Jackson is a British production designer renowned for her work on major films and television series, including the 2019 live-action adaptation of Disney's "Aladdin."
-
E.
Gemma McCaw
Gemma McCaw is a former New Zealand Black Sticks field hockey player and wellness advocate who is married to legendary All Blacks captain Richie McCaw.
- 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: Gemma Whelan Triple: [Yara Greyjoy, portrayedBy, Gemma Whelan]
Generated description
Gemma Whelan is a British actress and comedian best known for playing Yara Greyjoy in the television series "Game of Thrones."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gemma Whelan Target entity description: Gemma Whelan is a British actress and comedian best known for playing Yara Greyjoy in the television series "Game of Thrones."
-
A.
Gemma Ward
Gemma Ward is an Australian fashion model and actress who rose to prominence in the early 2000s as one of the youngest and most influential faces in high-fashion modeling.
-
B.
Gemma Gallagher
Gemma Gallagher is the daughter of English singer and former Oasis frontman Liam Gallagher.
-
C.
Gemma Baker
Gemma Baker is a television writer and producer best known for co-creating and executive producing the CBS sitcom "Mom."
-
D.
Gemma Jackson
Gemma Jackson is a British production designer renowned for her work on major films and television series, including the 2019 live-action adaptation of Disney's "Aladdin."
-
E.
Gemma McCaw
Gemma McCaw is a former New Zealand Black Sticks field hockey player and wellness advocate who is married to legendary All Blacks captain Richie McCaw.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924d7f4c8190b1f62b5ffe1ff649 |
completed | April 14, 2026, 7:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5c018788190afad213c580d7072 |
completed | May 8, 2026, 12:23 p.m. |
| NEDg | Description generation | batch_69fdd88765108190a33d2f5262e88c37 |
completed | May 8, 2026, 12:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdd8fa9ba88190908554226b4f9409 |
completed | May 8, 2026, 12:37 p.m. |
Created at: April 10, 2026, 1:20 a.m.