Triple
T8395812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Gunn |
E198048
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Jennifer Holland
Jennifer Holland is an American actress best known for her role as Emilia Harcourt in the DC Extended Universe projects including "The Suicide Squad" and the series "Peacemaker."
|
E776865
|
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: Jennifer Holland | Statement: [James Gunn, spouse, Jennifer Holland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer Holland Context triple: [James Gunn, spouse, Jennifer Holland]
-
A.
Michelle Mylett
Michelle Mylett is a Canadian actress best known for playing Katy on the comedy series "Letterkenny."
-
B.
Cindy Holland
Cindy Holland is a television executive best known for her influential role in developing and overseeing original content at Netflix.
-
C.
Jennifer Hall
Jennifer Hall is the daughter of acclaimed French-American actress and dancer Leslie Caron.
-
D.
Laura Hastings-Smith
Laura Hastings-Smith is a British film and television producer known for working on acclaimed projects including the 2015 adaptation of Macbeth.
-
E.
Susan Holbrook
Susan Holbrook is a Canadian poet and writer known for her innovative, playful approach to language and experimental forms.
- 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: Jennifer Holland Triple: [James Gunn, spouse, Jennifer Holland]
Generated description
Jennifer Holland is an American actress best known for her role as Emilia Harcourt in the DC Extended Universe projects including "The Suicide Squad" and the series "Peacemaker."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jennifer Holland Target entity description: Jennifer Holland is an American actress best known for her role as Emilia Harcourt in the DC Extended Universe projects including "The Suicide Squad" and the series "Peacemaker."
-
A.
Michelle Mylett
Michelle Mylett is a Canadian actress best known for playing Katy on the comedy series "Letterkenny."
-
B.
Cindy Holland
Cindy Holland is a television executive best known for her influential role in developing and overseeing original content at Netflix.
-
C.
Jennifer Hall
Jennifer Hall is the daughter of acclaimed French-American actress and dancer Leslie Caron.
-
D.
Laura Hastings-Smith
Laura Hastings-Smith is a British film and television producer known for working on acclaimed projects including the 2015 adaptation of Macbeth.
-
E.
Susan Holbrook
Susan Holbrook is a Canadian poet and writer known for her innovative, playful approach to language and experimental forms.
- 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_69ca82f816bc8190ab321c07d72208c1 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb81874d6c8190bbc0ac832d8a339d |
completed | March 31, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d016c8b6f0819084d14fec00aad335 |
completed | April 3, 2026, 7:36 p.m. |
| NEDg | Description generation | batch_69d019059e8481909a696575366aa0b6 |
completed | April 3, 2026, 7:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d019a2736c8190880c8f3786cf353b |
completed | April 3, 2026, 7:48 p.m. |
Created at: March 30, 2026, 6:04 p.m.