Triple
T5551256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eris |
E145529
|
entity |
| Predicate | offspring |
P980
|
FINISHED |
| Object | Limos |
E459092
|
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: Limos | Statement: [Eris, offspring, Limos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Limos Context triple: [Eris, offspring, Limos]
-
A.
Limos
chosen
Limos is the Greek personification of hunger and starvation, often depicted as a spirit who brings famine and scarcity.
-
B.
Hummer
Hummer is a line of large, military-inspired sport utility vehicles known for their rugged off-road capability, boxy design, and high fuel consumption.
-
C.
Mercédès
Mercédès is the given name of Mercédès Jellinek, the woman after whom the Mercedes automobile brand was named.
-
D.
Mercédès
Mercédès is a central character in Alexandre Dumas' novel "The Count of Monte Cristo," known as Edmond Dantès' former fiancée whose life is upended by his wrongful imprisonment and presumed death.
-
E.
The Yellow Rolls-Royce
The Yellow Rolls-Royce is a 1964 British anthology drama film that follows the intertwined stories of different owners of a luxury car across several years and countries.
- 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fe3e7788190aa5361b083197c17 |
completed | March 22, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c028350bc08190a8b48893157b86a1 |
completed | March 22, 2026, 5:34 p.m. |
Created at: March 22, 2026, 3:35 p.m.