Triple
T11747894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Healey |
E279330
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Jenny Healey
Jenny Healey is a person notable enough to be recognized as a significant bearer of the surname Healey.
|
E1044245
|
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: Jenny Healey | Statement: [Healey, hasNotableBearer, Jenny Healey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jenny Healey Context triple: [Healey, hasNotableBearer, Jenny Healey]
-
A.
Jenny Halsey
Jenny Halsey is a fictional archaeologist and adventurer who serves as the female lead in the 2017 film "The Mummy."
-
B.
Jenny Curran
Jenny Curran is a central character in the film and novel "Forrest Gump," known as Forrest's troubled childhood friend and lifelong love interest whose life contrasts sharply with his.
-
C.
Jenny Robertson
Jenny Robertson is an American actress known for her work in film and television, including roles in comedies and dramas since the 1980s.
-
D.
Jenny Hill
Jenny Hill is a character in the fantasy drama film "Big Fish," appearing as one of the many figures woven into Edward Bloom’s larger-than-life storytelling.
-
E.
Heather Faulkiner
Heather Faulkiner is known as the wife of prominent American sportscaster Marv Albert.
- 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: Jenny Healey Triple: [Healey, hasNotableBearer, Jenny Healey]
Generated description
Jenny Healey is a person notable enough to be recognized as a significant bearer of the surname Healey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jenny Healey Target entity description: Jenny Healey is a person notable enough to be recognized as a significant bearer of the surname Healey.
-
A.
Jenny Halsey
Jenny Halsey is a fictional archaeologist and adventurer who serves as the female lead in the 2017 film "The Mummy."
-
B.
Jenny Curran
Jenny Curran is a central character in the film and novel "Forrest Gump," known as Forrest's troubled childhood friend and lifelong love interest whose life contrasts sharply with his.
-
C.
Jenny Robertson
Jenny Robertson is an American actress known for her work in film and television, including roles in comedies and dramas since the 1980s.
-
D.
Jenny Hill
Jenny Hill is a character in the fantasy drama film "Big Fish," appearing as one of the many figures woven into Edward Bloom’s larger-than-life storytelling.
-
E.
Heather Faulkiner
Heather Faulkiner is known as the wife of prominent American sportscaster Marv Albert.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a50763a081908597da118bd0a64e |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75462fe9081908b939a1c6bdba6b9 |
completed | May 3, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69f754d3911881909beb5f90cb8b3b91 |
completed | May 3, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f75510dea481909e52733c55293375 |
completed | May 3, 2026, 2 p.m. |
Created at: April 8, 2026, 9:41 p.m.