Triple
T12458711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Mara |
E297729
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Mara |
E65229
|
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: Mara | Statement: [Susan Mara, familyName, Mara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mara Context triple: [Susan Mara, familyName, Mara]
-
A.
Mara
chosen
Mara is a surname of Irish origin borne by various notable individuals in fields such as sports, entertainment, and politics.
-
B.
Mara
Mara are an indigenous ethnic group of northeastern India and neighboring Myanmar, known for their distinct Tibeto-Burman language and cultural traditions.
-
C.
Mara
"Mara" is a dark, atmospheric track by experimental electronic producer The Haxan Cloak, known for its ominous sound design and immersive, cinematic mood.
-
D.
Marella
Marella is an Italian feminine given name, notably borne by Marella Agnelli, a prominent socialite, art collector, and style icon.
-
E.
Ranni
Ranni is a character appearing in Enid Blyton’s children’s adventure novel "The Circus of Adventure," where he plays a key role in the story’s circus-themed escapades.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94da46a588190bc888fafd6d1eb5d |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f1b0a3081909cf22970586755e9 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.