Triple
T14509056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mea Maxima Culpa: Silence in the House of God |
E340347
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Sari Gilman |
E444921
|
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: Sari Gilman | Statement: [Mea Maxima Culpa: Silence in the House of God, editedBy, Sari Gilman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sari Gilman Context triple: [Mea Maxima Culpa: Silence in the House of God, editedBy, Sari Gilman]
-
A.
Sari Gilman
chosen
Sari Gilman is a film editor best known for her work on the Academy Award–winning documentary "Taxi to the Dark Side."
-
B.
Alicia Z. Rosenfeld
Alicia Z. Rosenfeld is a book editor known for her work on the inspirational Christian memoir "Miracles from Heaven."
-
C.
Jessica Gelman
Jessica Gelman is a prominent sports analytics executive and entrepreneur best known for co-founding and leading the influential MIT Sloan Sports Analytics Conference.
-
D.
Miriam A. Hyman
Miriam A. Hyman is an American actress known for her work in television and film, including a prominent role in the crime drama series "Power Book IV: Force."
-
E.
Elissa Durwood Grodin
Elissa Durwood Grodin is an American author known for writing mystery novels and children's books.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e5b7b48190878be271840c265b |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00179824c88190aeef28a08eb1a0c9 |
completed | May 10, 2026, 5:28 a.m. |
Created at: April 10, 2026, 1:21 a.m.