Triple
T18379259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ...And Justice for All |
E446399
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Patrick Palmer
Patrick Palmer is a film producer best known for his work on the 1979 legal drama "...And Justice for All."
|
E1324297
|
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: Patrick Palmer | Statement: [...And Justice for All, producer, Patrick Palmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patrick Palmer Context triple: [...And Justice for All, producer, Patrick Palmer]
-
A.
Patrick Palmer
Patrick Palmer is a film producer best known for his work on the action-horror sequel "Blade II."
-
B.
Lu Palmer
Lu Palmer was a prominent African American journalist, political activist, and radio commentator in Chicago known for his advocacy for civil rights and Black political empowerment.
-
C.
Philip Pugh
Philip Pugh is a notable individual distinguished enough to be specifically recognized as a bearer of the surname Pugh.
-
D.
Michael Palmer
Michael Palmer is a former Singaporean politician who served as Speaker of Parliament before resigning from politics in 2012.
-
E.
Michael Palmer
Michael Palmer is an American poet known for his innovative, linguistically experimental work often associated with the Language poetry movement.
- 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: Patrick Palmer Triple: [...And Justice for All, producer, Patrick Palmer]
Generated description
Patrick Palmer is a film producer best known for his work on the 1979 legal drama "...And Justice for All."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Patrick Palmer Target entity description: Patrick Palmer is a film producer best known for his work on the 1979 legal drama "...And Justice for All."
-
A.
Patrick Palmer
Patrick Palmer is a film producer best known for his work on the action-horror sequel "Blade II."
-
B.
Lu Palmer
Lu Palmer was a prominent African American journalist, political activist, and radio commentator in Chicago known for his advocacy for civil rights and Black political empowerment.
-
C.
Philip Pugh
Philip Pugh is a notable individual distinguished enough to be specifically recognized as a bearer of the surname Pugh.
-
D.
Michael Palmer
Michael Palmer is a former Singaporean politician who served as Speaker of Parliament before resigning from politics in 2012.
-
E.
Michael Palmer
Michael Palmer is an American poet known for his innovative, linguistically experimental work often associated with the Language poetry movement.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51799e0f4819089e8af04888549bf |
completed | April 19, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03f09c1bc881908f54a704dfd164c9 |
completed | May 13, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_6a03f2ab2df88190a9e555990d92bcf1 |
completed | May 13, 2026, 3:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03f341ce908190b1cb1ba350814107 |
completed | May 13, 2026, 3:42 a.m. |
Created at: April 10, 2026, 10:45 a.m.