Triple
T15706991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Abominable Snowmen |
E380737
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Songsten
Songsten is a character from the Doctor Who serial "The Abominable Snowmen," serving as a key figure within the monastery entangled in the Great Intelligence's plot.
|
E1172238
|
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: Songsten | Statement: [The Abominable Snowmen, featuresCharacter, Songsten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Songsten Context triple: [The Abominable Snowmen, featuresCharacter, Songsten]
-
A.
Gyllensten
Gyllensten is a Swedish surname most notably associated with Lars Gyllensten, a prominent author and former member of the Swedish Academy.
-
B.
Hodal
Hodal is a town in the Indian state of Haryana that forms part of the culturally significant Braj region associated with the legends of Lord Krishna.
-
C.
Thussu
Thussu is an Indian family name associated with individuals such as Swarup Rani Thussu.
-
D.
Stanna
"Stanna" is a musical number from the Swedish musical "Kristina från Duvemåla," known for its emotional depth and reflection on longing and belonging.
-
E.
Stonem
Stonem is the surname of Tony Stonem, a central character from the British teen drama television series "Skins."
- 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: Songsten Triple: [The Abominable Snowmen, featuresCharacter, Songsten]
Generated description
Songsten is a character from the Doctor Who serial "The Abominable Snowmen," serving as a key figure within the monastery entangled in the Great Intelligence's plot.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Songsten Target entity description: Songsten is a character from the Doctor Who serial "The Abominable Snowmen," serving as a key figure within the monastery entangled in the Great Intelligence's plot.
-
A.
Gyllensten
Gyllensten is a Swedish surname most notably associated with Lars Gyllensten, a prominent author and former member of the Swedish Academy.
-
B.
Hodal
Hodal is a town in the Indian state of Haryana that forms part of the culturally significant Braj region associated with the legends of Lord Krishna.
-
C.
Thussu
Thussu is an Indian family name associated with individuals such as Swarup Rani Thussu.
-
D.
Stanna
"Stanna" is a musical number from the Swedish musical "Kristina från Duvemåla," known for its emotional depth and reflection on longing and belonging.
-
E.
Stonem
Stonem is the surname of Tony Stonem, a central character from the British teen drama television series "Skins."
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f70d44c81909edba6bd4b58b1c5 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff757997348190b29a9b55ba08169f |
completed | May 9, 2026, 5:57 p.m. |
| NEDg | Description generation | batch_69ff7653ccc08190b4b44b4f55344f65 |
completed | May 9, 2026, 6 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff76d21a148190bbe66c3ff12386f3 |
completed | May 9, 2026, 6:02 p.m. |
Created at: April 10, 2026, 4:45 a.m.