Triple
T15558314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JoAnna Garcia |
E370927
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object | Megan Smith |
E1162667
|
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: Megan Smith | Statement: [JoAnna Garcia, notableCharacter, Megan Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Megan Smith Context triple: [JoAnna Garcia, notableCharacter, Megan Smith]
-
A.
Megan Smith
chosen
Megan Smith is a fictional protagonist named Megan Smith, likely central to the narrative and perspective of the work in which she appears.
-
B.
Maggie Greenwald
Maggie Greenwald is an American film and television director and screenwriter known for character-driven dramas such as "The Ballad of Little Jo" and various acclaimed TV movies.
-
C.
Jennifer Pahlka
Jennifer Pahlka is an American civic technologist and former U.S. Deputy Chief Technology Officer best known for modernizing government services and founding the nonprofit Code for America.
-
D.
Kathryn Bostic
Kathryn Bostic is an American composer and pianist known for her evocative film and theater scores, particularly in independent cinema and stage productions.
-
E.
Esther Dyson
Esther Dyson is a prominent technology investor, journalist, and philanthropist known for her early involvement in the digital economy and advocacy on issues such as health, space, and technology policy.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04dda3ab88190ab383333ce69fe8f |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff456635588190a2473bcff3ae4a53 |
completed | May 9, 2026, 2:32 p.m. |
Created at: April 10, 2026, 4:09 a.m.