Triple
T16434026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lion (steam locomotive) |
E399137
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Lion
Lion is a historic early 19th-century British steam locomotive, best known for its preservation and appearance in the 1953 film "The Titfield Thunderbolt."
|
E1213465
|
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: Lion | Statement: [Lion (steam locomotive), nickname, Lion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lion Context triple: [Lion (steam locomotive), nickname, Lion]
-
A.
Lion
Lion is a 2016 biographical drama film about an Indian boy separated from his family and adopted in Australia who later uses Google Earth to find his way home.
-
B.
Lion
Lion was a prominent warship of the Royal Scots Navy, recognized for its significant role in Scotland’s early modern naval history.
-
C.
Lion
Lion is a mysterious, magical pink lion who serves as a companion and guardian to Steven in the animated series "Steven Universe."
-
D.
Lion
The lion is a large, social big cat native to Africa and parts of India, known for its strength, pride-based groups, and iconic status as a symbol of courage and leadership.
-
E.
Lion
Lion is a major Australasian beverage company known for producing and distributing a wide range of beer, wine, and dairy products.
- 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: Lion Triple: [Lion (steam locomotive), nickname, Lion]
Generated description
Lion is a historic early 19th-century British steam locomotive, best known for its preservation and appearance in the 1953 film "The Titfield Thunderbolt."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lion Target entity description: Lion is a historic early 19th-century British steam locomotive, best known for its preservation and appearance in the 1953 film "The Titfield Thunderbolt."
-
A.
Lion
Lion is a 2016 biographical drama film about an Indian boy separated from his family and adopted in Australia who later uses Google Earth to find his way home.
-
B.
Lion
Lion was a prominent warship of the Royal Scots Navy, recognized for its significant role in Scotland’s early modern naval history.
-
C.
Lion
Lion is a mysterious, magical pink lion who serves as a companion and guardian to Steven in the animated series "Steven Universe."
-
D.
Lion
The lion is a large, social big cat native to Africa and parts of India, known for its strength, pride-based groups, and iconic status as a symbol of courage and leadership.
-
E.
Lion
Lion is a major Australasian beverage company known for producing and distributing a wide range of beer, wine, and dairy products.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba01a1c8190b5a4700e2364ae63 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0045872a688190bcab27c6a2b952cd |
completed | May 10, 2026, 8:44 a.m. |
| NEDg | Description generation | batch_6a00464f264081908faef31ef15f378a |
completed | May 10, 2026, 8:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a004767d1c88190814e83f09383e874 |
completed | May 10, 2026, 8:52 a.m. |
Created at: April 10, 2026, 5:10 a.m.