Triple
T15152346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genesis of the Daleks |
E361974
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Gharman
Gharman is a Thal scientist and member of the Kaled resistance who opposes Davros’s plans in the Doctor Who serial "Genesis of the Daleks."
|
E1139953
|
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: Gharman | Statement: [Genesis of the Daleks, featuresCharacter, Gharman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gharman Context triple: [Genesis of the Daleks, featuresCharacter, Gharman]
-
A.
Ghomari
Ghomari is an alternative name for the Ghomara language, a Northern Berber language spoken by the Ghomara people in northern Morocco.
-
B.
Gharaunda
Gharaunda is a town in the Indian state of Haryana known for its agricultural market and proximity to the historic city of Karnal.
-
C.
Gharnata
Gharnata is an alternate transliteration of "Gharnāṭa," the Arabic name historically used for the city of Granada in Spain.
-
D.
Humera
Humera is a town in northwestern Ethiopia near the borders with Eritrea and Sudan, known for its strategic location and sesame production.
-
E.
Ghapan
Ghapan is a town in Armenia that serves as one of the international sister cities of Glendale, California.
- 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: Gharman Triple: [Genesis of the Daleks, featuresCharacter, Gharman]
Generated description
Gharman is a Thal scientist and member of the Kaled resistance who opposes Davros’s plans in the Doctor Who serial "Genesis of the Daleks."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gharman Target entity description: Gharman is a Thal scientist and member of the Kaled resistance who opposes Davros’s plans in the Doctor Who serial "Genesis of the Daleks."
-
A.
Ghomari
Ghomari is an alternative name for the Ghomara language, a Northern Berber language spoken by the Ghomara people in northern Morocco.
-
B.
Gharaunda
Gharaunda is a town in the Indian state of Haryana known for its agricultural market and proximity to the historic city of Karnal.
-
C.
Gharnata
Gharnata is an alternate transliteration of "Gharnāṭa," the Arabic name historically used for the city of Granada in Spain.
-
D.
Humera
Humera is a town in northwestern Ethiopia near the borders with Eritrea and Sudan, known for its strategic location and sesame production.
-
E.
Ghapan
Ghapan is a town in Armenia that serves as one of the international sister cities of Glendale, California.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00609040081908c849475a2fa6443 |
completed | April 15, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febff44ef081908db5826c2626df06 |
completed | May 9, 2026, 5:02 a.m. |
| NEDg | Description generation | batch_69fec09c3bcc819098c8425e5606a6e6 |
completed | May 9, 2026, 5:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fec12b674c8190b2919144d5c1a489 |
completed | May 9, 2026, 5:07 a.m. |
Created at: April 10, 2026, 3:07 a.m.