Triple
T13119395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomasin |
E311682
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object | Mercy |
E364464
|
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: Mercy | Statement: [Thomasin, hasSibling, Mercy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mercy Context triple: [Thomasin, hasSibling, Mercy]
-
A.
Mercy
"Mercy" is a 2012 hip hop single by the GOOD Music collective featuring Kanye West, Big Sean, Pusha T, and 2 Chainz, known for its distinctive beat and collaborative verses.
-
B.
Mercy
Mercy is a support hero in the game Overwatch, known for her powerful healing, resurrection abilities, and angelic, Valkyrie-themed design.
-
C.
Mercy
chosen
Mercy is a feminine given name often associated with compassion and kindness, used in various cultures and contexts.
-
D.
Mercy
Mercy is a 2009 psychological thriller film starring Taylor Schilling, centered on a writer who becomes entangled in a complex relationship with a mysterious woman.
-
E.
Mercy
Mercy is the central protagonist of the horror film "The Witch," around whom the story’s supernatural and psychological tensions revolve.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98196e69081909111407ee3d9f08e |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eadcd7048190aa740262679e5bab |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:06 p.m.