Triple
T7755520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurel and Hardy |
E175886
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Two Tars
Two Tars is a 1928 silent short comedy film starring the iconic duo Laurel and Hardy, known for its chaotic slapstick car-wreck sequence.
|
E686535
|
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: Two Tars | Statement: [Laurel and Hardy, notableWork, Two Tars]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Two Tars Context triple: [Laurel and Hardy, notableWork, Two Tars]
-
A.
Tali di Taraan
Tali di Taraan is a notable literary work by Pakistani poet Ghulam Mustafa Tabassum, recognized for its contribution to Punjabi/Urdu poetry.
-
B.
Tabasaran
Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
-
C.
The Turmoil
"The Turmoil" is a 1915 novel by American author Booth Tarkington that explores industrialization, social change, and family conflict in a rapidly modernizing Midwestern city.
-
D.
Talifuguen
Talifuguen is a dialect of the Isnag language spoken by indigenous communities in the northern Philippines.
-
E.
The Mighty Two
The Mighty Two is a Jamaican reggae and dub production duo best known for their influential work in the 1970s with artists such as Culture.
- 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: Two Tars Triple: [Laurel and Hardy, notableWork, Two Tars]
Generated description
Two Tars is a 1928 silent short comedy film starring the iconic duo Laurel and Hardy, known for its chaotic slapstick car-wreck sequence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Two Tars Target entity description: Two Tars is a 1928 silent short comedy film starring the iconic duo Laurel and Hardy, known for its chaotic slapstick car-wreck sequence.
-
A.
Tali di Taraan
Tali di Taraan is a notable literary work by Pakistani poet Ghulam Mustafa Tabassum, recognized for its contribution to Punjabi/Urdu poetry.
-
B.
Tabasaran
Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
-
C.
The Turmoil
"The Turmoil" is a 1915 novel by American author Booth Tarkington that explores industrialization, social change, and family conflict in a rapidly modernizing Midwestern city.
-
D.
Talifuguen
Talifuguen is a dialect of the Isnag language spoken by indigenous communities in the northern Philippines.
-
E.
The Mighty Two
The Mighty Two is a Jamaican reggae and dub production duo best known for their influential work in the 1970s with artists such as Culture.
- 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_69c6996180088190832e38e8d83ff54a |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703d9d8fc8190b51faeb081ee425f |
completed | March 27, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be5dbf5881908d07d70c8ae061a5 |
completed | March 29, 2026, 5:53 a.m. |
| NEDg | Description generation | batch_69c8bfc8256081908a6ae947d783f19f |
completed | March 29, 2026, 5:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c02e7a548190b2c5ad84e4c3f1fb |
completed | March 29, 2026, 6:01 a.m. |
Created at: March 27, 2026, 4:08 p.m.