Triple
T15715100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Hobbs |
E380940
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Daniel Tay
Daniel Tay is an American former child actor best known for playing Michael Hobbs in the Christmas comedy film "Elf."
|
E1172061
|
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: Daniel Tay | Statement: [Michael Hobbs, portrayedBy, Daniel Tay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Tay Context triple: [Michael Hobbs, portrayedBy, Daniel Tay]
-
A.
Daryl Sabara
Daryl Sabara is an American actor best known for playing Juni Cortez in the Spy Kids film series.
-
B.
Daniel Millar
Daniel Millar is an actor known for his role in the National Theatre’s acclaimed stage production of "Frankenstein."
-
C.
Eric Taylor
Eric Taylor is the dedicated and principled high school football coach at the center of the television series "Friday Night Lights."
-
D.
Eric Taylor
Eric Taylor is a musician best known as a member of the American rock band Saving Abel.
-
E.
Eric Taylor
Eric Taylor was an American singer-songwriter and influential Texas folk musician known for his storytelling style and for his connections to the Houston folk scene.
- 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: Daniel Tay Triple: [Michael Hobbs, portrayedBy, Daniel Tay]
Generated description
Daniel Tay is an American former child actor best known for playing Michael Hobbs in the Christmas comedy film "Elf."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daniel Tay Target entity description: Daniel Tay is an American former child actor best known for playing Michael Hobbs in the Christmas comedy film "Elf."
-
A.
Daryl Sabara
Daryl Sabara is an American actor best known for playing Juni Cortez in the Spy Kids film series.
-
B.
Daniel Millar
Daniel Millar is an actor known for his role in the National Theatre’s acclaimed stage production of "Frankenstein."
-
C.
Eric Taylor
Eric Taylor is the dedicated and principled high school football coach at the center of the television series "Friday Night Lights."
-
D.
Eric Taylor
Eric Taylor is a musician best known as a member of the American rock band Saving Abel.
-
E.
Eric Taylor
Eric Taylor was an American singer-songwriter and influential Texas folk musician known for his storytelling style and for his connections to the Houston folk scene.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f90aea0819082a9e9fe0f7780b0 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7581302c8190918266f04bcf2231 |
completed | May 9, 2026, 5:57 p.m. |
| NEDg | Description generation | batch_69ff763d40348190bf102da746420390 |
completed | May 9, 2026, 6 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff76ec45948190bee47609c0d2fd10 |
completed | May 9, 2026, 6:03 p.m. |
Created at: April 10, 2026, 4:45 a.m.