Triple
T15171591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marilyn Lovell |
E362497
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Kathleen Quinlan |
E77642
|
NE FINISHED |
How this triple was built (2 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: Kathleen Quinlan | Statement: [Marilyn Lovell, portrayedBy, Kathleen Quinlan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kathleen Quinlan Context triple: [Marilyn Lovell, portrayedBy, Kathleen Quinlan]
-
A.
Kathleen Quinlan
chosen
Kathleen Quinlan is an American film and television actress best known for her Academy Award–nominated performance as Marilyn Lovell in the 1995 space drama "Apollo 13."
-
B.
Patty Fenn
Patty Fenn is a television producer and key character in the film "Money Monster," where she manages the chaotic live broadcast at the center of the story.
-
C.
Deana Kiner
Deana Kiner is a relative of American composer Kevin Kiner, known for his work on numerous film and television scores.
-
D.
Thea Brody
Thea Brody is a member of the Brody family, known primarily in relation to Michael Brody.
-
E.
Sela Ward
Sela Ward is an American actress known for her Emmy-winning performances in television dramas such as "Sisters" and "Once and Again."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064ec56481909f11fa6e5686f076 |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec88c69088190a61f0a5719e99b87 |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:08 a.m.