Triple
T16035448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tombs of Atuan |
E388958
|
entity |
| Predicate | includesCharacter |
P5716
|
FINISHED |
| Object |
Thar
Thar is a minor character appearing in Ursula K. Le Guin’s fantasy novel *The Tombs of Atuan*, part of the Earthsea series.
|
E1190614
|
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: Thar | Statement: [The Tombs of Atuan, includesCharacter, Thar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thar Context triple: [The Tombs of Atuan, includesCharacter, Thar]
-
A.
Thar
Thar is a vast arid desert region in northwestern India and southeastern Pakistan, known for its sand dunes, extreme climate, and distinctive Rajasthani and Sindhi cultures.
-
B.
Thar
Thar is a city located in Saudi Arabia’s Najran Region, near the country’s southern border.
-
C.
Thari
Thari is a regional dialect of the Sindhi language spoken primarily in the Thar Desert region of Pakistan and India.
-
D.
Saawariya
Saawariya is a 2007 Hindi romantic drama film directed by Sanjay Leela Bhansali, known for its visually stylized, fairy-tale-like setting and the introduction of lead actors Ranbir Kapoor and Sonam Kapoor.
-
E.
Sharan
Sharan is a given name most notably borne by Sharan Burrow, an Australian trade union leader and former General Secretary of the International Trade Union Confederation.
- 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: Thar Triple: [The Tombs of Atuan, includesCharacter, Thar]
Generated description
Thar is a minor character appearing in Ursula K. Le Guin’s fantasy novel *The Tombs of Atuan*, part of the Earthsea series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thar Target entity description: Thar is a minor character appearing in Ursula K. Le Guin’s fantasy novel *The Tombs of Atuan*, part of the Earthsea series.
-
A.
Thar
Thar is a city located in Saudi Arabia’s Najran Region, near the country’s southern border.
-
B.
Thar
Thar is a vast arid desert region in northwestern India and southeastern Pakistan, known for its sand dunes, extreme climate, and distinctive Rajasthani and Sindhi cultures.
-
C.
Thari
Thari is a regional dialect of the Sindhi language spoken primarily in the Thar Desert region of Pakistan and India.
-
D.
Saawariya
Saawariya is a 2007 Hindi romantic drama film directed by Sanjay Leela Bhansali, known for its visually stylized, fairy-tale-like setting and the introduction of lead actors Ranbir Kapoor and Sonam Kapoor.
-
E.
Sharan
Sharan is a given name most notably borne by Sharan Burrow, an Australian trade union leader and former General Secretary of the International Trade Union Confederation.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833b84608190887dafda5d081dc0 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbd3a1248190ad055892cebde5f0 |
completed | May 10, 2026, 1:13 a.m. |
| NEDg | Description generation | batch_69ffdc5fd30c8190aaf66482f24285b4 |
completed | May 10, 2026, 1:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffdd0392e08190af42a0cdc5dd4c1f |
completed | May 10, 2026, 1:18 a.m. |
Created at: April 10, 2026, 4:56 a.m.