Triple
T20063239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Lapaine |
E499536
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Moonshot
Moonshot is a film featuring actor Daniel Lapaine, known for its exploration of space travel and human ambition.
|
E1408339
|
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: Moonshot | Statement: [Daniel Lapaine, notableWork, Moonshot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moonshot Context triple: [Daniel Lapaine, notableWork, Moonshot]
-
A.
Moonshot
Moonshot refers to an ambitious, groundbreaking initiative or goal—originally exemplified by the U.S. Apollo lunar program—aimed at achieving transformative progress through bold innovation.
-
B.
Reaching for the Moon
Reaching for the Moon is a Brazilian biographical drama film directed by Bruno Barreto that portrays the love affair between American poet Elizabeth Bishop and Brazilian architect Lota de Macedo Soares.
-
C.
To the Moon
"To the Moon" is a song featured on the album "All I Want Is You."
-
D.
Untethered Moon
"Untethered Moon" is an indie rock album by Built to Spill, known for its guitar-driven sound and reflective songwriting.
-
E.
Rocket to the Moon
"Rocket to the Moon" is a 1938 stage play by American dramatist Clifford Odets that explores themes of love, frustration, and disillusionment in Depression-era New York.
- 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: Moonshot Triple: [Daniel Lapaine, notableWork, Moonshot]
Generated description
Moonshot is a film featuring actor Daniel Lapaine, known for its exploration of space travel and human ambition.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moonshot Target entity description: Moonshot is a film featuring actor Daniel Lapaine, known for its exploration of space travel and human ambition.
-
A.
Moonshot
Moonshot refers to an ambitious, groundbreaking initiative or goal—originally exemplified by the U.S. Apollo lunar program—aimed at achieving transformative progress through bold innovation.
-
B.
Reaching for the Moon
Reaching for the Moon is a Brazilian biographical drama film directed by Bruno Barreto that portrays the love affair between American poet Elizabeth Bishop and Brazilian architect Lota de Macedo Soares.
-
C.
To the Moon
"To the Moon" is a song featured on the album "All I Want Is You."
-
D.
Untethered Moon
"Untethered Moon" is an indie rock album by Built to Spill, known for its guitar-driven sound and reflective songwriting.
-
E.
Rocket to the Moon
"Rocket to the Moon" is a 1938 stage play by American dramatist Clifford Odets that explores themes of love, frustration, and disillusionment in Depression-era New York.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66377b6b48190a0a37279f285123e |
completed | April 20, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a081612662c81909cb1e90910ca76ac |
completed | May 16, 2026, 7 a.m. |
| NEDg | Description generation | batch_6a0816d4a8e081909930e2e379a56071 |
completed | May 16, 2026, 7:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a081742ed8481908a424a3d05368e46 |
completed | May 16, 2026, 7:05 a.m. |
Created at: April 11, 2026, 3:39 p.m.