Triple
T10917697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweet Sixteen |
E257866
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Liam |
unclear NED1
|
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: Liam | Statement: [Sweet Sixteen, mainCharacter, Liam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liam Context triple: [Sweet Sixteen, mainCharacter, Liam]
-
A.
Liam
Liam is a popular masculine given name of Irish origin, commonly understood as a short form of William.
-
B.
Liam Egan
Liam Egan is a composer best known for creating the musical score for the Australian film "Ten Canoes."
-
C.
Liam Titcomb
Liam Titcomb is a Canadian singer-songwriter and multi-instrumentalist known for his folk-pop music and work in television soundtracks.
-
D.
Liam Sullivan
Liam Sullivan was an American character actor known for his numerous television and film roles from the 1950s through the 1980s, often portraying suave or villainous figures.
-
E.
Gavin
Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7707ebdcc8190b42cafe21c667c82 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23bbf70688190be9315a75582dbe2 |
completed | April 17, 2026, 1:55 p.m. |
Created at: April 8, 2026, 9:22 p.m.