Triple
T14509268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Citizen K |
E340352
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Michael J. Palmer
Michael J. Palmer is a film editor known for his work on the movie "Citizen K."
|
E1275034
|
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: Michael J. Palmer | Statement: [Citizen K, editedBy, Michael J. Palmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael J. Palmer Context triple: [Citizen K, editedBy, Michael J. Palmer]
-
A.
Michael V. Drake
Michael V. Drake is an American academic leader and physician who has served as president of both The Ohio State University and the University of California system.
-
B.
Michael J. Pierson
Michael J. Pierson is an individual notable enough to be specifically cited as a namesake or distinguished bearer of the surname Pierson.
-
C.
Paul D. Millspaugh
Paul D. Millspaugh is an editor known for his work on the film "The Perfect Holiday."
-
D.
David C. Plummer
David C. Plummer is a computer scientist best known for authoring the ARP (Address Resolution Protocol) specification and contributing to early Internet networking standards.
-
E.
Ian J. Turpin
Ian J. Turpin is a Scottish-born businessman and financial executive best known as the husband of Luci Baines Johnson, daughter of former U.S. President Lyndon B. Johnson.
- 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: Michael J. Palmer Triple: [Citizen K, editedBy, Michael J. Palmer]
Generated description
Michael J. Palmer is a film editor known for his work on the movie "Citizen K."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael J. Palmer Target entity description: Michael J. Palmer is a film editor known for his work on the movie "Citizen K."
-
A.
Michael V. Drake
Michael V. Drake is an American academic leader and physician who has served as president of both The Ohio State University and the University of California system.
-
B.
Michael J. Pierson
Michael J. Pierson is an individual notable enough to be specifically cited as a namesake or distinguished bearer of the surname Pierson.
-
C.
Paul D. Millspaugh
Paul D. Millspaugh is an editor known for his work on the film "The Perfect Holiday."
-
D.
David C. Plummer
David C. Plummer is a computer scientist best known for authoring the ARP (Address Resolution Protocol) specification and contributing to early Internet networking standards.
-
E.
Ian J. Turpin
Ian J. Turpin is a Scottish-born businessman and financial executive best known as the husband of Luci Baines Johnson, daughter of former U.S. President Lyndon B. Johnson.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e5b7b48190878be271840c265b |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01d27210b4819099aed53a2820591a |
completed | May 11, 2026, 12:58 p.m. |
| NEDg | Description generation | batch_6a01d30961788190881f78d1989bd4ae |
completed | May 11, 2026, 1 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01d65ce2a48190a78e58b643de699a |
completed | May 11, 2026, 1:15 p.m. |
Created at: April 10, 2026, 1:21 a.m.