Triple
T37040079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hortense Daigle |
E916753
|
entity |
| Predicate | performanceRecognition |
P186693
|
FINISHED |
| Object |
Eileen Heckart received an Academy Award nomination for Best Supporting Actress for portraying Hortense Daigle in The Bad Seed (1956 film)
Hortense Daigle is a pivotal supporting character in the 1956 psychological thriller film "The Bad Seed," known for her emotionally intense and tragic storyline.
|
E2211319
|
NE FINISHED |
How this triple was built (3 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: Eileen Heckart received an Academy Award nomination for Best Supporting Actress for portraying Hortense Daigle in The Bad Seed (1956 film) | Statement: [Hortense Daigle, performanceRecognition, Eileen Heckart received an Academy Award nomination for Best Supporting Actress for portraying Hortense Daigle in The Bad Seed (1956 film)]
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: Eileen Heckart received an Academy Award nomination for Best Supporting Actress for portraying Hortense Daigle in The Bad Seed (1956 film) Triple: [Hortense Daigle, performanceRecognition, Eileen Heckart received an Academy Award nomination for Best Supporting Actress for portraying Hortense Daigle in The Bad Seed (1956 film)]
Generated description
Hortense Daigle is a pivotal supporting character in the 1956 psychological thriller film "The Bad Seed," known for her emotionally intense and tragic storyline.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performanceRecognition Context triple: [Hortense Daigle, performanceRecognition, Eileen Heckart received an Academy Award nomination for Best Supporting Actress for portraying Hortense Daigle in The Bad Seed (1956 film)]
-
A.
performanceWith
Indicates a relationship where two or more entities participate together in the same performance or staged presentation.
-
B.
performanceAs
Indicates that one entity serves in a particular role, character, or capacity within a performance or presentation involving another entity.
-
C.
performanceArea
Indicates the area or space in which a performance, show, or event takes place.
-
D.
isARecognitionOf
chosen
Indicates that one entity serves as an acknowledgment, award, or formal appreciation of another entity’s qualities, actions, or achievements.
-
E.
performanceIncludes
Indicates that a performance encompasses, contains, or is composed of a specified component, act, segment, or element.
- F. None of above.
Provenance (6 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_69f76e93ec4c8190be81cf87354d9155 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff3b32ee148190a3ba3b7600943fef |
completed | May 9, 2026, 1:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3e8c4198888190bce697c66b483abf |
completed | June 26, 2026, 2:27 p.m. |
| NEDg | Description generation | batch_6a3e9b2f106c8190bffd617ea27ae22f |
completed | June 26, 2026, 3:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3ef0f2bb648190a53133e725dedf41 |
completed | June 26, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69ff3a238af88190a2c2245e30299e48 |
completed | May 9, 2026, 1:44 p.m. |
Created at: May 3, 2026, 4:14 p.m.