Triple
T1154704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Dean |
E23756
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object |
Lost Honor
Lost Honor is a memoir by former White House Counsel John Dean reflecting on his role in the Watergate scandal and its aftermath.
|
E132452
|
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: Lost Honor | Statement: [John Dean, wrote, Lost Honor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lost Honor Context triple: [John Dean, wrote, Lost Honor]
-
A.
Sorrows of Empire
Sorrows of Empire is a political analysis book that critiques U.S. militarism and imperial expansion as part of The American Empire Project series.
-
B.
Traitors’ Gate
Traitors’ Gate is a historic watergate entrance to the Tower of London, infamous as the route by which many prisoners accused of treason were brought into the fortress.
-
C.
The Order
The Order is a secretive Yale University society, more widely known as Skull and Bones, associated with influential political and business elites.
-
D.
Cold Irons Bound
"Cold Irons Bound" is a Grammy-winning, blues-infused song by Bob Dylan, noted for its dense, apocalyptic lyrics and murky, atmospheric production.
-
E.
Red Tower
Red Tower is a historic medieval tower and landmark in the German city of Chemnitz.
- 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: Lost Honor Triple: [John Dean, wrote, Lost Honor]
Generated description
Lost Honor is a memoir by former White House Counsel John Dean reflecting on his role in the Watergate scandal and its aftermath.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lost Honor Target entity description: Lost Honor is a memoir by former White House Counsel John Dean reflecting on his role in the Watergate scandal and its aftermath.
-
A.
Sorrows of Empire
Sorrows of Empire is a political analysis book that critiques U.S. militarism and imperial expansion as part of The American Empire Project series.
-
B.
Traitors’ Gate
Traitors’ Gate is a historic watergate entrance to the Tower of London, infamous as the route by which many prisoners accused of treason were brought into the fortress.
-
C.
The Order
The Order is a secretive Yale University society, more widely known as Skull and Bones, associated with influential political and business elites.
-
D.
Cold Irons Bound
"Cold Irons Bound" is a Grammy-winning, blues-infused song by Bob Dylan, noted for its dense, apocalyptic lyrics and murky, atmospheric production.
-
E.
Red Tower
Red Tower is a historic medieval tower and landmark in the German city of Chemnitz.
- 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc8fbb548190865b1bf019f2bde4 |
completed | March 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5eb81790819087016b1620353417 |
completed | March 7, 2026, 5:22 p.m. |
| NEDg | Description generation | batch_69ac612fee3881908abba96acf1b60ef |
completed | March 7, 2026, 5:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac621c445081908bd3aa6f9c258caf |
completed | March 7, 2026, 5:36 p.m. |
Created at: March 1, 2026, 7:44 p.m.