Triple
T8267746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Weatherly |
E193342
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Loving |
E611521
|
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: Loving | Statement: [Michael Weatherly, appearedIn, Loving]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loving Context triple: [Michael Weatherly, appearedIn, Loving]
-
A.
Loving
Loving is a small village located in Eddy County in the southeastern region of the U.S. state of New Mexico.
-
B.
Loving
Loving is a 2016 historical drama film that portrays the real-life interracial couple Richard and Mildred Loving and their landmark U.S. Supreme Court case that invalidated laws prohibiting interracial marriage.
-
C.
Loving
chosen
Loving is an American daytime soap opera created by Agnes Nixon that aired on ABC from 1983 to 1995.
-
D.
Loving Blind
"Loving Blind" is a country song by Clint Black featured on his album "Put Yourself in My Shoes."
-
E.
A Kind of Loving
A Kind of Loving is a 1962 British romantic drama film, adapted from Stan Barstow’s novel, that portrays a working-class courtship and marriage in Northern England.
- 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_69ca82e081d48190986beaa51f498ab9 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb794fc4208190b268bc69ff2b28a9 |
completed | March 31, 2026, 7:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd6833065c8190945e88022ad2869d |
completed | April 1, 2026, 6:47 p.m. |
Created at: March 30, 2026, 5:50 p.m.