Triple
T20387195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Searching (2018 film) |
E497989
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Michelle La
Michelle La is an American actress best known for her lead role in the acclaimed mystery thriller film "Searching" (2018).
|
E1427507
|
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: Michelle La | Statement: [Searching (2018 film), starring, Michelle La]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michelle La Context triple: [Searching (2018 film), starring, Michelle La]
-
A.
Michelle Mae
Michelle Mae is an American musician best known as the bassist for the Washington, D.C. post-punk band The Make-Up.
-
B.
Michelle Blake
Michelle Blake is a fictional paramedic captain and key first responder character in the television drama series "9-1-1: Lone Star."
-
C.
Michelle Grace
Michelle Grace is an American actress and film producer known for her work in projects like "Narc" and "Take the Lead" and for her former marriage to actor Ray Liotta.
-
D.
Nichole Millard
Nichole Millard is a screenwriter best known for co-writing the family sports comedy film "The Game Plan."
-
E.
Jennifer Meyer
Jennifer Meyer is an American jewelry designer known for her eponymous fine jewelry line and her marriage to actor Tobey Maguire.
- 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: Michelle La Triple: [Searching (2018 film), starring, Michelle La]
Generated description
Michelle La is an American actress best known for her lead role in the acclaimed mystery thriller film "Searching" (2018).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michelle La Target entity description: Michelle La is an American actress best known for her lead role in the acclaimed mystery thriller film "Searching" (2018).
-
A.
Michelle Mae
Michelle Mae is an American musician best known as the bassist for the Washington, D.C. post-punk band The Make-Up.
-
B.
Michelle Blake
Michelle Blake is a fictional paramedic captain and key first responder character in the television drama series "9-1-1: Lone Star."
-
C.
Michelle Grace
Michelle Grace is an American actress and film producer known for her work in projects like "Narc" and "Take the Lead" and for her former marriage to actor Ray Liotta.
-
D.
Nichole Millard
Nichole Millard is a screenwriter best known for co-writing the family sports comedy film "The Game Plan."
-
E.
Jennifer Meyer
Jennifer Meyer is an American jewelry designer known for her eponymous fine jewelry line and her marriage to actor Tobey Maguire.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790c935881908f901d058e6a83a9 |
completed | April 20, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08761fdb8481908a4b9975c96aade9 |
completed | May 16, 2026, 1:50 p.m. |
| NEDg | Description generation | batch_6a0876b11c248190aefac57c32293ff0 |
completed | May 16, 2026, 1:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08772501e08190b6c104b3270cf2da |
completed | May 16, 2026, 1:54 p.m. |
Created at: April 16, 2026, 11:28 a.m.