Triple
T9623355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lena Headey |
E232398
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Headey
Headey is the surname of English actress Lena Headey, best known for her role as Cersei Lannister in the television series "Game of Thrones."
|
E810211
|
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: Headey | Statement: [Lena Headey, familyName, Headey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Headey Context triple: [Lena Headey, familyName, Headey]
-
A.
Healy
Healy is an Irish surname commonly associated with notable figures in politics, entertainment, and sports.
-
B.
Heeley
Heeley is a district in the city of Sheffield, South Yorkshire, England, known for its residential areas, local amenities, and proximity to green spaces.
-
C.
Haynrode
Haynrode is a small village in the German state of Thuringia.
-
D.
Hoyte
Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
-
E.
Leatherhead
Leatherhead is a historic market town in the county of Surrey in South East England, situated on the River Mole and serving as a local commercial and commuter hub.
- 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: Headey Triple: [Lena Headey, familyName, Headey]
Generated description
Headey is the surname of English actress Lena Headey, best known for her role as Cersei Lannister in the television series "Game of Thrones."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Headey Target entity description: Headey is the surname of English actress Lena Headey, best known for her role as Cersei Lannister in the television series "Game of Thrones."
-
A.
Healy
Healy is an Irish surname commonly associated with notable figures in politics, entertainment, and sports.
-
B.
Heeley
Heeley is a district in the city of Sheffield, South Yorkshire, England, known for its residential areas, local amenities, and proximity to green spaces.
-
C.
Haynrode
Haynrode is a small village in the German state of Thuringia.
-
D.
Hoyte
Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
-
E.
Leatherhead
Leatherhead is a historic market town in the county of Surrey in South East England, situated on the River Mole and serving as a local commercial and commuter hub.
- 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_69ca848793ec8190a93a12383a754dc0 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9ad650a4819096258665bc3f410b |
completed | April 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1797ab3d4819088da04fd5d00386b |
completed | April 4, 2026, 8:50 p.m. |
| NEDg | Description generation | batch_69d17a96725c8190aca4a5303952171b |
completed | April 4, 2026, 8:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d17b3559548190afe2bbf7cbf8a2af |
completed | April 4, 2026, 8:57 p.m. |
Created at: March 30, 2026, 8:10 p.m.