Triple
T11345174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meadow Soprano |
E268694
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Meadow |
E544728
|
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: Meadow | Statement: [Meadow Soprano, givenName, Meadow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meadow Context triple: [Meadow Soprano, givenName, Meadow]
-
A.
Meadow
chosen
Meadow is a central character in the animated film and TV special "Entergalactic," serving as the love interest and artistic counterpart to protagonist Jabari.
-
B.
Meadows
Meadows is a surname most prominently associated with Mark Meadows, a former White House Chief of Staff and U.S. congressman.
-
C.
Meadowland
Meadowland is a 2015 independent drama film starring Olivia Wilde as a grieving mother coping with the mysterious disappearance of her young son.
-
D.
Greenmeadow
Greenmeadow is a residential neighbourhood within the town of Cwmbran in South Wales.
-
E.
Green Meadows
Green Meadows is a residential neighborhood in South Los Angeles known for its dense urban character and predominantly working-class community.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea1f9574819089760c5b5908f09e |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5436e9d848190a7e585351d24df03 |
completed | April 19, 2026, 9:04 p.m. |
Created at: April 8, 2026, 9:33 p.m.