Triple
T10327943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quenya |
E242806
|
entity |
| Predicate | hasNotableText |
P7250
|
FINISHED |
| Object |
Namárië
Namárië is a famous Elvish lament written in Tolkien’s Quenya language and sung by Galadriel in The Lord of the Rings.
|
E856153
|
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: Namárië | Statement: [Quenya, hasNotableText, Namárië]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Namárië Context triple: [Quenya, hasNotableText, Namárië]
-
A.
Amarain
Amarain is a popular Arabic pop album by Egyptian singer Amr Diab, known for its hit title track and influential role in 1990s Middle Eastern music.
-
B.
Nain
Nain is a remote coastal town in northern Labrador, Canada, known as the administrative center of the Inuit region of Nunatsiavut.
-
C.
Nain
Nain is a renowned Iranian town famous for producing high-quality, finely knotted Persian carpets characterized by intricate designs and a typically light color palette.
-
D.
Tynaarlo
Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
-
E.
Velda
Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
- 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: Namárië Triple: [Quenya, hasNotableText, Namárië]
Generated description
Namárië is a famous Elvish lament written in Tolkien’s Quenya language and sung by Galadriel in The Lord of the Rings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Namárië Target entity description: Namárië is a famous Elvish lament written in Tolkien’s Quenya language and sung by Galadriel in The Lord of the Rings.
-
A.
Amarain
Amarain is a popular Arabic pop album by Egyptian singer Amr Diab, known for its hit title track and influential role in 1990s Middle Eastern music.
-
B.
Nain
Nain is a remote coastal town in northern Labrador, Canada, known as the administrative center of the Inuit region of Nunatsiavut.
-
C.
Nain
Nain is a renowned Iranian town famous for producing high-quality, finely knotted Persian carpets characterized by intricate designs and a typically light color palette.
-
D.
Tynaarlo
Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
-
E.
Velda
Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cf21e08190bf605daeea0d9dcf |
completed | April 7, 2026, 10:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71dafa9308190ae0d3c34ba0c58b1 |
completed | April 9, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69d73189d7cc8190b81bb30994b3900f |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7329891688190b5c1ec5906728f01 |
completed | April 9, 2026, 5:01 a.m. |
Created at: April 6, 2026, 11:51 a.m.