Triple
T20397831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lost Missile |
E500254
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Fred Engelberg
Fred Engelberg is an actor known for appearing in the 1958 science fiction film "The Lost Missile."
|
E1473568
|
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: Fred Engelberg | Statement: [The Lost Missile, hasCastMember, Fred Engelberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fred Engelberg Context triple: [The Lost Missile, hasCastMember, Fred Engelberg]
-
A.
Philip Andelman
Philip Andelman is an American music video and commercial director known for his work with major artists across pop and rock music.
-
B.
Ken Rosenberg
Ken Rosenberg is a neurotic, fast-talking criminal lawyer and associate of the protagonist in the Grand Theft Auto series, most prominently featured in Vice City.
-
C.
Daniel N. Rosenberg
Daniel N. Rosenberg is a film producer best known for his work on the acclaimed independent movie "Rodger Dodger."
-
D.
Andrew Rubenstein
Andrew Rubenstein is one of the children of billionaire financier and philanthropist David M. Rubenstein.
-
E.
Mark Rosenthal
Mark Rosenthal is an American screenwriter known for co-writing major Hollywood films, including contributing to the story for "Star Trek VI: The Undiscovered Country."
- 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: Fred Engelberg Triple: [The Lost Missile, hasCastMember, Fred Engelberg]
Generated description
Fred Engelberg is an actor known for appearing in the 1958 science fiction film "The Lost Missile."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fred Engelberg Target entity description: Fred Engelberg is an actor known for appearing in the 1958 science fiction film "The Lost Missile."
-
A.
Philip Andelman
Philip Andelman is an American music video and commercial director known for his work with major artists across pop and rock music.
-
B.
Ken Rosenberg
Ken Rosenberg is a neurotic, fast-talking criminal lawyer and associate of the protagonist in the Grand Theft Auto series, most prominently featured in Vice City.
-
C.
Daniel N. Rosenberg
Daniel N. Rosenberg is a film producer best known for his work on the acclaimed independent movie "Rodger Dodger."
-
D.
Andrew Rubenstein
Andrew Rubenstein is one of the children of billionaire financier and philanthropist David M. Rubenstein.
-
E.
Mark Rosenthal
Mark Rosenthal is an American screenwriter known for co-writing major Hollywood films, including contributing to the story for "Star Trek VI: The Undiscovered Country."
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6798c2b28819092fab93f01218cde |
completed | April 20, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0986cab218819094dca848ea8ae19e |
completed | May 17, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_6a09876a38788190b2cef66b9d0c2f73 |
completed | May 17, 2026, 9:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09881c2d4c8190ab2cdf5dc99a43b0 |
completed | May 17, 2026, 9:19 a.m. |
Created at: April 16, 2026, 11:29 a.m.