Triple
T14412893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | There's Something About Mary |
E357374
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Pat Healy
Pat Healy is the sleazy private investigator and comic antagonist in the romantic comedy film "There's Something About Mary."
|
E1125128
|
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: Pat Healy | Statement: [There's Something About Mary, mainCharacter, Pat Healy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pat Healy Context triple: [There's Something About Mary, mainCharacter, Pat Healy]
-
A.
Sam Healy
Sam Healy is a fictional prison counselor and correctional officer in the television series "Orange Is the New Black."
-
B.
Kevin Healey
Kevin Healey is a British autism campaigner and activist known for his work raising awareness of autism and combating online bullying and discrimination.
-
C.
Tim O'Connor
Tim O'Connor is a New Zealand educational leader best known for serving as rector of the prestigious Auckland Grammar School.
-
D.
Patrick Hallahan
Patrick Hallahan is an American drummer best known as a longtime member of the rock band My Morning Jacket.
-
E.
Brian Sweeney
Brian Sweeney is a relatively common personal name shared by multiple individuals, including professionals in fields such as sports, business, and the arts.
- 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: Pat Healy Triple: [There's Something About Mary, mainCharacter, Pat Healy]
Generated description
Pat Healy is the sleazy private investigator and comic antagonist in the romantic comedy film "There's Something About Mary."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pat Healy Target entity description: Pat Healy is the sleazy private investigator and comic antagonist in the romantic comedy film "There's Something About Mary."
-
A.
Sam Healy
Sam Healy is a fictional prison counselor and correctional officer in the television series "Orange Is the New Black."
-
B.
Kevin Healey
Kevin Healey is a British autism campaigner and activist known for his work raising awareness of autism and combating online bullying and discrimination.
-
C.
Tim O'Connor
Tim O'Connor is a New Zealand educational leader best known for serving as rector of the prestigious Auckland Grammar School.
-
D.
Patrick Hallahan
Patrick Hallahan is an American drummer best known as a longtime member of the rock band My Morning Jacket.
-
E.
Brian Sweeney
Brian Sweeney is a relatively common personal name shared by multiple individuals, including professionals in fields such as sports, business, and the arts.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cb3c708190822f5506ebf7ee9d |
completed | April 14, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b3a76ac819088587b9fa560b6dc |
completed | May 8, 2026, 11:01 p.m. |
| NEDg | Description generation | batch_69fe6df63b78819087d6c709db1ce889 |
completed | May 8, 2026, 11:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6e32f7a0819086ca1303024c6db9 |
completed | May 8, 2026, 11:13 p.m. |
Created at: April 10, 2026, 1:17 a.m.