Triple
T6800098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parcae |
E156161
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object |
Morta
Morta is the Roman goddess of death and destiny, one of the three Fates who determines the moment of each mortal’s death by cutting the thread of life.
|
E623374
|
NE FINISHED |
How this triple was built (4 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: Morta | Statement: [Parcae, member, Morta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morta Context triple: [Parcae, member, Morta]
-
A.
Toten
Toten is a traditional rural district in eastern Norway known for its agriculture and scenic landscape, located within Innlandet county.
-
B.
Mort
Mort is a comic fantasy novel in Terry Pratchett’s Discworld series that follows a young apprentice to Death himself.
-
C.
Mort
Mort is a masculine given name, often used as a short form of Morton or Mortimer.
-
D.
de Mortemart
De Mortemart is the noble French family name of Madame de Montespan, a prominent 17th-century courtier and mistress of King Louis XIV.
-
E.
Reaper
Reaper is a comedic supernatural television series about a young man who becomes a bounty hunter for the Devil, capturing escaped souls from Hell.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Morta Triple: [Parcae, member, Morta]
Generated description
Morta is the Roman goddess of death and destiny, one of the three Fates who determines the moment of each mortal’s death by cutting the thread of life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Morta Target entity description: Morta is the Roman goddess of death and destiny, one of the three Fates who determines the moment of each mortal’s death by cutting the thread of life.
-
A.
Toten
Toten is a traditional rural district in eastern Norway known for its agriculture and scenic landscape, located within Innlandet county.
-
B.
Mort
Mort is a comic fantasy novel in Terry Pratchett’s Discworld series that follows a young apprentice to Death himself.
-
C.
Mort
Mort is a masculine given name, often used as a short form of Morton or Mortimer.
-
D.
de Mortemart
De Mortemart is the noble French family name of Madame de Montespan, a prominent 17th-century courtier and mistress of King Louis XIV.
-
E.
Reaper
Reaper is a comedic supernatural television series about a young man who becomes a bounty hunter for the Devil, capturing escaped souls from Hell.
- F. None of above. chosen
Provenance (5 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_69c6d2e457408190a0ad9b0c48d8147c |
completed | March 27, 2026, 6:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72f9926ec8190bff8d01e3ab0d0da |
completed | March 28, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69c7344ecb908190bcad8785b42c6a4d |
completed | March 28, 2026, 1:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c734af23708190880e9ddb63a4820d |
completed | March 28, 2026, 1:53 a.m. |
Created at: March 27, 2026, 2:15 p.m.