Triple
T7950958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thank You Notes |
E184611
|
entity |
| Predicate | illustrator |
P9707
|
FINISHED |
| Object |
Michael Shoemaker
Michael Shoemaker is an illustrator best known for his artwork in the book "Thank You Notes."
|
E722382
|
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: Michael Shoemaker | Statement: [Thank You Notes, illustrator, Michael Shoemaker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Shoemaker Context triple: [Thank You Notes, illustrator, Michael Shoemaker]
-
A.
Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
-
B.
Michael Schoeffling
Michael Schoeffling is an American former actor and model best known for his role as Jake Ryan in the 1984 film "Sixteen Candles."
-
C.
Michael Sarnoski
Michael Sarnoski is an American filmmaker and screenwriter best known for directing the acclaimed drama "Pig" and later helming the horror prequel "A Quiet Place: Day One."
-
D.
Ian Hultquist
Ian Hultquist is an American composer and musician best known for his film and television scores and as a founding member and former keyboardist of the indie pop band Passion Pit.
-
E.
Kevin Manthei
Kevin Manthei is an American composer known for his work on film, television, and video game scores, particularly in the animation and superhero genres.
- 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: Michael Shoemaker Triple: [Thank You Notes, illustrator, Michael Shoemaker]
Generated description
Michael Shoemaker is an illustrator best known for his artwork in the book "Thank You Notes."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Shoemaker Target entity description: Michael Shoemaker is an illustrator best known for his artwork in the book "Thank You Notes."
-
A.
Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
-
B.
Michael Schoeffling
Michael Schoeffling is an American former actor and model best known for his role as Jake Ryan in the 1984 film "Sixteen Candles."
-
C.
Michael Sarnoski
Michael Sarnoski is an American filmmaker and screenwriter best known for directing the acclaimed drama "Pig" and later helming the horror prequel "A Quiet Place: Day One."
-
D.
Ian Hultquist
Ian Hultquist is an American composer and musician best known for his film and television scores and as a founding member and former keyboardist of the indie pop band Passion Pit.
-
E.
Kevin Manthei
Kevin Manthei is an American composer known for his work on film, television, and video game scores, particularly in the animation and superhero genres.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b5b7450819091e4e6f21e9d832d |
completed | March 31, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd672cb3288190af4f951e65e8d67e |
completed | April 1, 2026, 6:42 p.m. |
| NEDg | Description generation | batch_69cd6c1f75748190b119acd0d92f2ef9 |
completed | April 1, 2026, 7:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7da4f3a0819080eed3d03c293789 |
completed | April 1, 2026, 8:18 p.m. |
Created at: March 30, 2026, 5:10 p.m.