Triple
T9472245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eliza |
E228419
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Elise |
E164185
|
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: Elise | Statement: [Eliza, relatedName, Elise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elise Context triple: [Eliza, relatedName, Elise]
-
A.
Elise
chosen
Elise is a given name associated with the Austrian-Swedish physicist Lise Meitner, a pioneer in nuclear fission research.
-
B.
Elise Rainier
Elise Rainier is a gifted psychic and paranormal investigator central to the Insidious horror film series, known for confronting malevolent supernatural entities.
-
C.
Élise
Élise is a central female character in Molière’s comedy "L’Avare," known as Harpagon’s daughter who struggles between filial duty and her love for Valère.
-
D.
Elise Sellas
Elise Sellas is a free-spirited contemporary ballet dancer whose chance encounters with politician David Norris challenge the fate-controlling powers in the film "The Adjustment Bureau."
-
E.
Elise Muller
Elise Muller is an actress best known for her role in the indie horror-comedy film "Baghead."
- 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_69ca847162c48190b079076c9595513c |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fef6f288190b2d158c829b31de9 |
completed | April 1, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d122cd0728819088f6c832cd90d832 |
completed | April 4, 2026, 2:40 p.m. |
Created at: March 30, 2026, 7:54 p.m.