Triple
T275905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woody Johnson |
E5249
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Woody
Woody is the commonly used nickname of American businessman and New York Jets owner Woody Johnson.
|
E36126
|
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: Woody | Statement: [Woody Johnson, nickname, Woody]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woody Context triple: [Woody Johnson, nickname, Woody]
-
A.
Wallace
Wallace is a volume series of early United States Supreme Court case reports compiled by reporter John William Wallace, later incorporated into the official United States Reports.
-
B.
Wallace
Wallace is the maiden surname of Bess Truman, the wife of U.S. President Harry S. Truman and former First Lady of the United States.
-
C.
Wallace
Wallace is a common English and Scottish surname borne by numerous notable figures in politics, science, and the arts.
-
D.
Wallace
Wallace is a notable figure who succeeded Black in a position of leadership or prominence, likely within a political or organizational context.
-
E.
Stanley
Stanley is an autonomous robotic vehicle developed by Stanford University that gained fame for winning the 2005 DARPA Grand Challenge, a landmark event in self-driving car research.
- 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: Woody Triple: [Woody Johnson, nickname, Woody]
Generated description
Woody is the commonly used nickname of American businessman and New York Jets owner Woody Johnson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Woody Target entity description: Woody is the commonly used nickname of American businessman and New York Jets owner Woody Johnson.
-
A.
Wallace
Wallace is a volume series of early United States Supreme Court case reports compiled by reporter John William Wallace, later incorporated into the official United States Reports.
-
B.
Wallace
Wallace is a notable figure who succeeded Black in a position of leadership or prominence, likely within a political or organizational context.
-
C.
Wallace
Wallace is the maiden surname of Bess Truman, the wife of U.S. President Harry S. Truman and former First Lady of the United States.
-
D.
Wallace
Wallace is a common English and Scottish surname borne by numerous notable figures in politics, science, and the arts.
-
E.
Stanley
Stanley is an autonomous robotic vehicle developed by Stanford University that gained fame for winning the 2005 DARPA Grand Challenge, a landmark event in self-driving car research.
- 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25dec53ac8190912f3d79576131fa |
completed | Feb. 28, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a394a13b688190951b070facd01d8c |
completed | March 1, 2026, 1:21 a.m. |
| NEDg | Description generation | batch_69a394f7fd408190a1413b03fd664ea6 |
completed | March 1, 2026, 1:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3954367f4819087d9e143d703dff5 |
completed | March 1, 2026, 1:24 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.