Triple
T22977486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finnick Odair |
E571365
|
entity |
| Predicate | closeTo |
P350
|
FINISHED |
| Object | Mags |
—
|
NE NERFINISHED |
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: Mags | Statement: [Finnick Odair, closeTo, Mags]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mags Context triple: [Finnick Odair, closeTo, Mags]
-
A.
Mags
Mags is a common diminutive or nickname for the given name Madeleine.
-
B.
Mags
chosen
Mags is an elderly former Hunger Games victor from District 4 who serves as a mentor and tribute in Suzanne Collins’ "Catching Fire."
-
C.
Magazeen
Magazeen is a dancehall and reggae artist known for his affiliation with Rick Ross’s Maybach Music Group.
-
D.
Magazia
Magazia is a small village on the Greek island of Paxos, known for its traditional character and tranquil, rural setting.
-
E.
Maggie-Now
Maggie-Now is a novel by American author Betty Smith, best known for its portrayal of Irish-American family life in early 20th-century Brooklyn.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18292f3788190ab4e9d559e0070c8 |
completed | April 29, 2026, 4:01 a.m. |
Created at: April 17, 2026, 3:48 p.m.