Triple
T12947581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fatherhood |
E309808
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Matt Logelin |
E1010599
|
NE FINISHED |
How this triple was built (2 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: Matt Logelin | Statement: [Fatherhood, mainCharacter, Matt Logelin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Logelin Context triple: [Fatherhood, mainCharacter, Matt Logelin]
-
A.
Matthew Logelin
chosen
Matthew Logelin is an American author and blogger best known for his memoir about losing his wife shortly after childbirth and raising their daughter as a single father.
-
B.
Gregory Mottola
Gregory Mottola is an American film director and screenwriter best known for directing the comedy films "Superbad" and "Adventureland."
-
C.
Michael Finnell
Michael Finnell is an American film producer best known for his work on popular 1980s and 1990s genre films, including collaborations with director Joe Dante.
-
D.
Greg Yaitanes
Greg Yaitanes is an American television director and producer known for his work on high-profile series such as House of the Dragon and House.
-
E.
Patrick Melton
Patrick Melton is an American screenwriter and producer best known for co-writing several installments of the Saw horror film franchise.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d97e1c67b8819094e5243267f93ce2 |
completed | April 10, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8d9669c819090471eb7e035d83d |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 5:43 p.m.