Triple
T17301547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Jane Watson |
E420050
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object |
Philip Watson
Philip Watson is a supporting Marvel Comics character best known as the father of Mary Jane Watson in the Spider-Man series.
|
E1261176
|
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: Philip Watson | Statement: [Mary Jane Watson, father, Philip Watson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philip Watson Context triple: [Mary Jane Watson, father, Philip Watson]
-
A.
Peter Watson
Peter Watson was a British art patron and collector who played a pivotal role in promoting modern art and culture in mid-20th-century Britain.
-
B.
Philip Christison
Philip Christison was a British Army general who held senior commands in World War II, particularly in Southeast Asia.
-
C.
Michael Waterstone
Michael Waterstone is a legal scholar and academic leader who serves as the dean of UCLA School of Law.
-
D.
John Hatchard
John Hatchard was a prominent London bookseller and publisher of the late 18th and early 19th centuries, known for establishing one of the city’s oldest bookshops.
-
E.
John Watherstone
John Watherstone is a fictional character known primarily as the fiancé of Catherine Winslow in the play "The Winslow Boy" by Terence Rattigan.
- 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: Philip Watson Triple: [Mary Jane Watson, father, Philip Watson]
Generated description
Philip Watson is a supporting Marvel Comics character best known as the father of Mary Jane Watson in the Spider-Man series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Philip Watson Target entity description: Philip Watson is a supporting Marvel Comics character best known as the father of Mary Jane Watson in the Spider-Man series.
-
A.
Peter Watson
Peter Watson was a British art patron and collector who played a pivotal role in promoting modern art and culture in mid-20th-century Britain.
-
B.
Philip Christison
Philip Christison was a British Army general who held senior commands in World War II, particularly in Southeast Asia.
-
C.
Michael Waterstone
Michael Waterstone is a legal scholar and academic leader who serves as the dean of UCLA School of Law.
-
D.
John Hatchard
John Hatchard was a prominent London bookseller and publisher of the late 18th and early 19th centuries, known for establishing one of the city’s oldest bookshops.
-
E.
John Watherstone
John Watherstone is a fictional character known primarily as the fiancé of Catherine Winslow in the play "The Winslow Boy" by Terence Rattigan.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e438fae8848190a06c5866e606baac |
completed | April 19, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180dc929c819096a7a5dc81e5b6ef |
completed | May 11, 2026, 7:10 a.m. |
| NEDg | Description generation | batch_6a0181ae2d588190a4ff68094529a994 |
completed | May 11, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0182ccd104819088569cf0be87b4d3 |
completed | May 11, 2026, 7:18 a.m. |
Created at: April 10, 2026, 5:41 a.m.