Triple
T20579091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ocean Eyes |
E505305
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object |
Megan Thompson
Megan Thompson is a music video director known for her work on projects such as Billie Eilish’s “Ocean Eyes.”
|
E1521086
|
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: Megan Thompson | Statement: [Ocean Eyes, musicVideoDirector, Megan Thompson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Megan Thompson Context triple: [Ocean Eyes, musicVideoDirector, Megan Thompson]
-
A.
Megan Terry
Megan Terry is an influential American playwright and pioneer of feminist and experimental theatre, best known for works like "Viet Rock."
-
B.
Megan Morgan
Megan Morgan is a character from the 1988 sci-fi horror comedy film "Critters 2: The Main Course."
-
C.
Megan Burns
Megan Burns is a British actress best known for her role as Hannah in the post-apocalyptic horror film "28 Days Later."
-
D.
Megan Ferguson
Megan Ferguson is an American actress known for her work in television comedies and dramas, including a prominent role in the series "The Comedians."
-
E.
Megan McArthur
Megan McArthur is a NASA astronaut and oceanographer best known for her role as a mission specialist on Space Shuttle missions, including the final Hubble Space Telescope servicing flight.
- 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: Megan Thompson Triple: [Ocean Eyes, musicVideoDirector, Megan Thompson]
Generated description
Megan Thompson is a music video director known for her work on projects such as Billie Eilish’s “Ocean Eyes.”
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Megan Thompson Target entity description: Megan Thompson is a music video director known for her work on projects such as Billie Eilish’s “Ocean Eyes.”
-
A.
Megan Terry
Megan Terry is an influential American playwright and pioneer of feminist and experimental theatre, best known for works like "Viet Rock."
-
B.
Megan Morgan
Megan Morgan is a character from the 1988 sci-fi horror comedy film "Critters 2: The Main Course."
-
C.
Megan Burns
Megan Burns is a British actress best known for her role as Hannah in the post-apocalyptic horror film "28 Days Later."
-
D.
Megan Ferguson
Megan Ferguson is an American actress known for her work in television comedies and dramas, including a prominent role in the series "The Comedians."
-
E.
Megan McArthur
Megan McArthur is a NASA astronaut and oceanographer best known for her role as a mission specialist on Space Shuttle missions, including the final Hubble Space Telescope servicing flight.
- 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a90cc22c8190969e3a21ae92f1c9 |
completed | April 20, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a96dfbd5481908eaaa45696e5b09e |
completed | May 18, 2026, 4:34 a.m. |
| NEDg | Description generation | batch_6a0a980276bc81908e9f6c6596880a8d |
completed | May 18, 2026, 4:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a986105bc819082556e8dec156ab6 |
completed | May 18, 2026, 4:41 a.m. |
Created at: April 16, 2026, 11:39 a.m.