Triple
T8450097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin (Moonlight) |
E199777
|
entity |
| Predicate | appearsInAct |
P795
|
FINISHED |
| Object | Little |
E543889
|
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: Little | Statement: [Kevin (Moonlight), appearsInAct, Little]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Context triple: [Kevin (Moonlight), appearsInAct, Little]
-
A.
Little
Little is a common English surname borne by numerous notable individuals across fields such as sports, politics, and the arts.
-
B.
Little
chosen
Little is a 2019 fantasy-comedy film in which a domineering tech executive is magically transformed into her younger self, forcing her to relive middle school and confront her past behavior.
-
C.
Petit
Petit is the surname of Sir Dinshaw Maneckji Petit, 1st Baronet, a prominent 19th-century Parsi industrialist and philanthropist from Bombay.
-
D.
Small
Small is a peer-reviewed scientific journal focusing on nanoscience and nanotechnology, including research on nanoscale materials, devices, and systems.
-
E.
Little D
Little D is a colloquial nickname for the city of Denton, Texas, often used in contrast to nearby Dallas, known as "Big D."
- 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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe44707b88190b3d8b30c45ef4496 |
completed | March 31, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1dc85e48819083340d022d0dba9b |
completed | April 2, 2026, 7:42 a.m. |
Created at: March 30, 2026, 6:09 p.m.