Triple
T14622101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carol Hathaway |
E343247
|
entity |
| Predicate | worksWith |
P398
|
FINISHED |
| Object |
Jeanie Boulet
Jeanie Boulet is a physician assistant and later HIV-positive health advocate on the television medical drama "ER."
|
E1120088
|
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: Jeanie Boulet | Statement: [Carol Hathaway, worksWith, Jeanie Boulet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeanie Boulet Context triple: [Carol Hathaway, worksWith, Jeanie Boulet]
-
A.
Kelly Dombrowski
Kelly Dombrowski is an individual notable for bearing the surname Dombrowski, though specific widely recognized public achievements or roles are not well documented.
-
B.
Julie Hickson
Julie Hickson is a film producer best known for her work on Tim Burton’s early short film "Frankenweenie" (1984).
-
C.
Julie LeBreton
Julie LeBreton is a Canadian actress known for her work in film and television, particularly in French-language productions.
-
D.
Erin Burkett
Erin Burkett is an American music industry executive and co-founder of the influential punk rock record label Fat Wreck Chords.
-
E.
Danielle Aubuchon
Danielle Aubuchon is an American actress known for her work in film and television and for being married to actor Dirk Blocker.
- 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: Jeanie Boulet Triple: [Carol Hathaway, worksWith, Jeanie Boulet]
Generated description
Jeanie Boulet is a physician assistant and later HIV-positive health advocate on the television medical drama "ER."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeanie Boulet Target entity description: Jeanie Boulet is a physician assistant and later HIV-positive health advocate on the television medical drama "ER."
-
A.
Kelly Dombrowski
Kelly Dombrowski is an individual notable for bearing the surname Dombrowski, though specific widely recognized public achievements or roles are not well documented.
-
B.
Julie Hickson
Julie Hickson is a film producer best known for her work on Tim Burton’s early short film "Frankenweenie" (1984).
-
C.
Julie LeBreton
Julie LeBreton is a Canadian actress known for her work in film and television, particularly in French-language productions.
-
D.
Erin Burkett
Erin Burkett is an American music industry executive and co-founder of the influential punk rock record label Fat Wreck Chords.
-
E.
Danielle Aubuchon
Danielle Aubuchon is an American actress known for her work in film and television and for being married to actor Dirk Blocker.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb466a61c81908a110d40fb959b6f |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24a4ceb081908535585175832534 |
completed | May 8, 2026, 6 p.m. |
| NEDg | Description generation | batch_69fe292a5f788190b9871273ac86c2c0 |
completed | May 8, 2026, 6:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe2985fc948190864622c1afe9f87a |
completed | May 8, 2026, 6:20 p.m. |
Created at: April 10, 2026, 1:25 a.m.