Triple
T9566789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LCF theorem prover |
E230806
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
HOL Light
HOL Light is an interactive theorem prover for higher-order logic, known for its small, clean implementation and use in formalizing significant mathematical results.
|
E807604
|
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: HOL Light | Statement: [LCF theorem prover, relatedTo, HOL Light]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HOL Light Context triple: [LCF theorem prover, relatedTo, HOL Light]
-
A.
Lumen
Lumen is a character or element from the work "Lumen in caelo," likely serving as a central or significant figure within that context.
-
B.
Lumen
Lumen is a telecommunications and technology company brand offering network, edge cloud, security, and communication services to businesses and enterprises.
-
C.
Lumen
Lumen is a lightweight PHP micro-framework created by the Laravel team, optimized for building fast microservices and APIs.
-
D.
Tesseract
The Tesseract is a powerful cosmic cube in the Marvel universe that contains the Space Stone, enabling teleportation and immense energy manipulation.
-
E.
Sparx
Sparx is the loyal dragonfly companion and health indicator who follows Spyro throughout the Spyro the Dragon video game series.
- 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: HOL Light Triple: [LCF theorem prover, relatedTo, HOL Light]
Generated description
HOL Light is an interactive theorem prover for higher-order logic, known for its small, clean implementation and use in formalizing significant mathematical results.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HOL Light Target entity description: HOL Light is an interactive theorem prover for higher-order logic, known for its small, clean implementation and use in formalizing significant mathematical results.
-
A.
Lumen
Lumen is a character or element from the work "Lumen in caelo," likely serving as a central or significant figure within that context.
-
B.
Lumen
Lumen is a telecommunications and technology company brand offering network, edge cloud, security, and communication services to businesses and enterprises.
-
C.
Lumen
Lumen is a lightweight PHP micro-framework created by the Laravel team, optimized for building fast microservices and APIs.
-
D.
Tesseract
The Tesseract is a powerful cosmic cube in the Marvel universe that contains the Space Stone, enabling teleportation and immense energy manipulation.
-
E.
Sparx
Sparx is the loyal dragonfly companion and health indicator who follows Spyro throughout the Spyro the Dragon video game series.
- 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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd996df4f08190b19bbaefb10a9789 |
completed | April 1, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152b09c808190aff32419f2cbb15f |
completed | April 4, 2026, 6:04 p.m. |
| NEDg | Description generation | batch_69d153d59844819086a0f50e6a7624b2 |
completed | April 4, 2026, 6:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1546a503c81908edc9588adabc172 |
completed | April 4, 2026, 6:11 p.m. |
Created at: March 30, 2026, 8:04 p.m.