Triple
T17244000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lily Walsh |
E418573
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Heather Rattray
Heather Rattray is an American actress best known for her work in television soap operas and family-oriented films.
|
E1310844
|
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: Heather Rattray | Statement: [Lily Walsh, portrayedBy, Heather Rattray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heather Rattray Context triple: [Lily Walsh, portrayedBy, Heather Rattray]
-
A.
Heather Robertson
Heather Robertson is the daughter of the late American actor Cliff Robertson, known for his Academy Award–winning performance in "Charly."
-
B.
Catriona Drummond
Catriona Drummond is a fictional character who serves as the central protagonist in the story featuring Catriona.
-
C.
Lorna Campbell
Lorna Campbell is a fictional British intelligence agent and key supporting character who assists the bumbling spy in the comedy film "Johnny English."
-
D.
Lorna Crozier
Lorna Crozier is an acclaimed Canadian poet and educator known for her lyrical explorations of memory, landscape, and the human condition.
-
E.
Suzanne Gilfillan
Suzanne Gilfillan is a film producer best known for her work on the British comedy-drama movie "Calendar Girls."
- 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: Heather Rattray Triple: [Lily Walsh, portrayedBy, Heather Rattray]
Generated description
Heather Rattray is an American actress best known for her work in television soap operas and family-oriented films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heather Rattray Target entity description: Heather Rattray is an American actress best known for her work in television soap operas and family-oriented films.
-
A.
Heather Robertson
Heather Robertson is the daughter of the late American actor Cliff Robertson, known for his Academy Award–winning performance in "Charly."
-
B.
Catriona Drummond
Catriona Drummond is a fictional character who serves as the central protagonist in the story featuring Catriona.
-
C.
Lorna Campbell
Lorna Campbell is a fictional British intelligence agent and key supporting character who assists the bumbling spy in the comedy film "Johnny English."
-
D.
Lorna Crozier
Lorna Crozier is an acclaimed Canadian poet and educator known for her lyrical explorations of memory, landscape, and the human condition.
-
E.
Suzanne Gilfillan
Suzanne Gilfillan is a film producer best known for her work on the British comedy-drama movie "Calendar Girls."
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e21bb5c8190ad960f231fe54665 |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0397e9980c81908e143c78378a86c5 |
completed | May 12, 2026, 9:13 p.m. |
| NEDg | Description generation | batch_6a0398dd1d50819087d16ad6f09ef063 |
completed | May 12, 2026, 9:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03998369648190ae2e84ba56827473 |
completed | May 12, 2026, 9:20 p.m. |
Created at: April 10, 2026, 5:39 a.m.