Triple
T13486586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Lot Like Love |
E318518
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Susan Littenberg |
E613698
|
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: Susan Littenberg | Statement: [A Lot Like Love, editedBy, Susan Littenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Littenberg Context triple: [A Lot Like Love, editedBy, Susan Littenberg]
-
A.
Susan Littenberg
chosen
Susan Littenberg is a film editor known for her work on feature films such as the teen comedy "Easy A."
-
B.
Judy Levitt
Judy Levitt is an American actress best known for her long marriage to Star Trek actor Walter Koenig and for appearing in several of his film and television projects.
-
C.
Arlene Litman
Arlene Litman was the mother of American actress Lisa Bonet.
-
D.
Linda Gottlieb
Linda Gottlieb is an American film and television producer best known for producing the iconic 1987 romantic drama film "Dirty Dancing."
-
E.
Liz Friedlander
Liz Friedlander is an American director best known for her work on music videos for major pop and rock artists as well as episodes of popular television series.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3a15b48190b63fb59e926a97ae |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3cfae6bc8190ac6851a3fa2dfb12 |
completed | May 8, 2026, 1:31 a.m. |
Created at: April 9, 2026, 9:42 p.m.