Triple
T6796192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mort |
E156058
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Mort |
E156058
|
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: Mort | Statement: [Mort, featuresCharacter, Mort]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mort Context triple: [Mort, featuresCharacter, Mort]
-
A.
Mort
Mort is a masculine given name, often used as a short form of Morton or Mortimer.
-
B.
Mort
chosen
Mort is a comic fantasy novel in Terry Pratchett’s Discworld series that follows a young apprentice to Death himself.
-
C.
Toten
Toten is a traditional rural district in eastern Norway known for its agriculture and scenic landscape, located within Innlandet county.
-
D.
Marvyn
Marvyn is an English surname historically associated with families such as that of the Tudor-era politician James Marvyn.
-
E.
Adam Deadmarsh
Adam Deadmarsh is a former professional ice hockey forward best known for his NHL career with the Colorado Avalanche and Los Angeles Kings, including winning the Stanley Cup in 1996.
- 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_69c6881844448190a65822d9b39d7f88 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2c872f0819092f21e8fdbecc667 |
completed | March 27, 2026, 6:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723d211508190a31747b2d67ed42e |
completed | March 28, 2026, 12:41 a.m. |
Created at: March 27, 2026, 2:15 p.m.