Triple
T16071558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pete Vuckovich |
E389873
|
entity |
| Predicate | portrayedCharacter |
P1668
|
FINISHED |
| Object |
Clu Haywood
Clu Haywood is a fictional power-hitting first baseman and primary antagonist slugger for the New York Yankees in the baseball comedy film "Major League."
|
E1192979
|
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: Clu Haywood | Statement: [Pete Vuckovich, portrayedCharacter, Clu Haywood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clu Haywood Context triple: [Pete Vuckovich, portrayedCharacter, Clu Haywood]
-
A.
Kay Hilliard
Kay Hilliard is the central female protagonist in the 1956 musical film "The Opposite Sex," navigating love, betrayal, and personal growth within the world of high society marriages.
-
B.
Ron Cain
Ron Cain is a businessman best known for owning the Portland Pirates professional ice hockey team.
-
C.
Avrion Mitchison
Avrion Mitchison is a British immunologist renowned for his pioneering work on immune tolerance and the cellular basis of the immune response.
-
D.
Clifford Rowley
Clifford Rowley is a founder of Rhythm & Hues Studios, a prominent visual effects and animation company known for its work on major Hollywood films.
-
E.
Steve Hilliard
Steve Hilliard is a character in the romantic comedy film "The Opposite Sex."
- 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: Clu Haywood Triple: [Pete Vuckovich, portrayedCharacter, Clu Haywood]
Generated description
Clu Haywood is a fictional power-hitting first baseman and primary antagonist slugger for the New York Yankees in the baseball comedy film "Major League."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Clu Haywood Target entity description: Clu Haywood is a fictional power-hitting first baseman and primary antagonist slugger for the New York Yankees in the baseball comedy film "Major League."
-
A.
Kay Hilliard
Kay Hilliard is the central female protagonist in the 1956 musical film "The Opposite Sex," navigating love, betrayal, and personal growth within the world of high society marriages.
-
B.
Ron Cain
Ron Cain is a businessman best known for owning the Portland Pirates professional ice hockey team.
-
C.
Avrion Mitchison
Avrion Mitchison is a British immunologist renowned for his pioneering work on immune tolerance and the cellular basis of the immune response.
-
D.
Clifford Rowley
Clifford Rowley is a founder of Rhythm & Hues Studios, a prominent visual effects and animation company known for its work on major Hollywood films.
-
E.
Steve Hilliard
Steve Hilliard is a character in the romantic comedy film "The Opposite Sex."
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183be909c8190ac6c37ab047151ae |
completed | April 17, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe4827cd48190aa470c6537e72508 |
completed | May 10, 2026, 1:50 a.m. |
| NEDg | Description generation | batch_69ffe6c956a48190845faac983b9a064 |
completed | May 10, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe7387b38819094e55ae14ec2c036 |
completed | May 10, 2026, 2:02 a.m. |
Created at: April 10, 2026, 4:57 a.m.