Triple
T12958977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyler Hoechlin |
E310087
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hoechlin
Hoechlin is the surname of American actor Tyler Hoechlin, known for roles in series like "Teen Wolf" and "Superman & Lois."
|
E1013805
|
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: Hoechlin | Statement: [Tyler Hoechlin, familyName, Hoechlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoechlin Context triple: [Tyler Hoechlin, familyName, Hoechlin]
-
A.
Huntziger
Huntziger is a French surname most notably borne by General Charles Huntziger, a senior French Army officer during the World Wars.
-
B.
Nicollier
Nicollier is the surname of Claude Nicollier, a Swiss astrophysicist and former ESA astronaut known for his Space Shuttle missions and work on the Hubble Space Telescope.
-
C.
Lusser
Lusser is a German surname most notably associated with engineer Robert Lusser, known for his contributions to aeronautics and reliability engineering.
-
D.
Hilty
Hilty is the surname of American actress and singer Megan Hilty, known for her work on Broadway and television.
-
E.
Balard
Balard is a Paris Métro station in the 15th arrondissement, serving as a key transport hub near the Parc des Expositions and several major administrative and military sites.
- 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: Hoechlin Triple: [Tyler Hoechlin, familyName, Hoechlin]
Generated description
Hoechlin is the surname of American actor Tyler Hoechlin, known for roles in series like "Teen Wolf" and "Superman & Lois."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hoechlin Target entity description: Hoechlin is the surname of American actor Tyler Hoechlin, known for roles in series like "Teen Wolf" and "Superman & Lois."
-
A.
Huntziger
Huntziger is a French surname most notably borne by General Charles Huntziger, a senior French Army officer during the World Wars.
-
B.
Nicollier
Nicollier is the surname of Claude Nicollier, a Swiss astrophysicist and former ESA astronaut known for his Space Shuttle missions and work on the Hubble Space Telescope.
-
C.
Lusser
Lusser is a German surname most notably associated with engineer Robert Lusser, known for his contributions to aeronautics and reliability engineering.
-
D.
Hilty
Hilty is the surname of American actress and singer Megan Hilty, known for her work on Broadway and television.
-
E.
Balard
Balard is a Paris Métro station in the 15th arrondissement, serving as a key transport hub near the Parc des Expositions and several major administrative and military sites.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e2e44908190bb8b43fc5c3b8a8a |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8dddd80819094c80ef405024419 |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6ba0904e8819098bae29961bf0046 |
completed | May 3, 2026, 2:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb7a0ae08190813411fa677430aa |
completed | May 3, 2026, 3:05 a.m. |
Created at: April 9, 2026, 5:44 p.m.