Triple
T16810109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bollea |
E408584
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object |
Peter Bollea
Peter Bollea is the birth name of American professional wrestler and pop culture icon Hulk Hogan.
|
E1249305
|
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: Peter Bollea | Statement: [Bollea, usedBy, Peter Bollea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Bollea Context triple: [Bollea, usedBy, Peter Bollea]
-
A.
Oscar D’Agostino
Oscar D’Agostino was an Italian chemist who collaborated with Enrico Fermi’s Via Panisperna group, contributing to early nuclear physics research in Rome.
-
B.
John Fusco
John Fusco is an American screenwriter and producer best known for writing Western-themed films such as "Young Guns" and creating the Netflix series "Marco Polo."
-
C.
Robert Pulcini
Robert Pulcini is an American filmmaker and screenwriter best known for co-writing and co-directing acclaimed independent films such as "American Splendor" alongside his creative partner and wife, Shari Springer Berman.
-
D.
Arthur Gallucci
Arthur Gallucci was the husband of Hungarian-American socialite and actress Magda Gabor.
-
E.
Frank Galati
Frank Galati was an American director, adapter, and screenwriter known for his acclaimed stage and film adaptations of literary works.
- 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: Peter Bollea Triple: [Bollea, usedBy, Peter Bollea]
Generated description
Peter Bollea is the birth name of American professional wrestler and pop culture icon Hulk Hogan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Bollea Target entity description: Peter Bollea is the birth name of American professional wrestler and pop culture icon Hulk Hogan.
-
A.
Oscar D’Agostino
Oscar D’Agostino was an Italian chemist who collaborated with Enrico Fermi’s Via Panisperna group, contributing to early nuclear physics research in Rome.
-
B.
John Fusco
John Fusco is an American screenwriter and producer best known for writing Western-themed films such as "Young Guns" and creating the Netflix series "Marco Polo."
-
C.
Robert Pulcini
Robert Pulcini is an American filmmaker and screenwriter best known for co-writing and co-directing acclaimed independent films such as "American Splendor" alongside his creative partner and wife, Shari Springer Berman.
-
D.
Arthur Gallucci
Arthur Gallucci was the husband of Hungarian-American socialite and actress Magda Gabor.
-
E.
Frank Galati
Frank Galati was an American director, adapter, and screenwriter known for his acclaimed stage and film adaptations of literary works.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2cf680c8190bcd640570c524918 |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ec9611c8190a773beef59b39110 |
completed | May 11, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a01314a0db481909f500d57e5ae3b51 |
completed | May 11, 2026, 1:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a013198d2d08190b593694809ac2ad6 |
completed | May 11, 2026, 1:32 a.m. |
Created at: April 10, 2026, 5:23 a.m.