Triple
T9623388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lena Headey |
E232398
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Teddy Cadan
Teddy Cadan is the daughter of British actress Lena Headey and musician Dan Cadan.
|
E810215
|
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: Teddy Cadan | Statement: [Lena Headey, hasChild, Teddy Cadan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teddy Cadan Context triple: [Lena Headey, hasChild, Teddy Cadan]
-
A.
Teddy Reig
Teddy Reig was an American jazz record producer best known for his influential work with bebop and swing musicians in the mid-20th century.
-
B.
Teddy Sears
Teddy Sears is an American actor known for his television roles in series such as "Masters of Sex," "The Flash," and "American Horror Story."
-
C.
Christopher Candy
Christopher Candy is a Canadian actor and comedian, and the son of the late comedy legend John Candy.
-
D.
Teddy Castellucci
Teddy Castellucci is an American film composer known for scoring numerous Hollywood comedies, including the soundtrack for "White Chicks."
-
E.
Paul Cantelon
Paul Cantelon is an American composer and multi-instrumentalist known for his film scores and work blending classical, jazz, and world music influences.
- 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: Teddy Cadan Triple: [Lena Headey, hasChild, Teddy Cadan]
Generated description
Teddy Cadan is the daughter of British actress Lena Headey and musician Dan Cadan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Teddy Cadan Target entity description: Teddy Cadan is the daughter of British actress Lena Headey and musician Dan Cadan.
-
A.
Teddy Reig
Teddy Reig was an American jazz record producer best known for his influential work with bebop and swing musicians in the mid-20th century.
-
B.
Teddy Sears
Teddy Sears is an American actor known for his television roles in series such as "Masters of Sex," "The Flash," and "American Horror Story."
-
C.
Christopher Candy
Christopher Candy is a Canadian actor and comedian, and the son of the late comedy legend John Candy.
-
D.
Teddy Castellucci
Teddy Castellucci is an American film composer known for scoring numerous Hollywood comedies, including the soundtrack for "White Chicks."
-
E.
Paul Cantelon
Paul Cantelon is an American composer and multi-instrumentalist known for his film scores and work blending classical, jazz, and world music influences.
- 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.