Triple
T11100268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LF Energy |
E262482
|
entity |
| Predicate | hasProject |
P14971
|
FINISHED |
| Object |
Shapeshifter
Shapeshifter is an LF Energy open-source project focused on standardizing and streamlining energy market communications and flexibility services.
|
E904628
|
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: Shapeshifter | Statement: [LF Energy, hasProject, Shapeshifter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shapeshifter Context triple: [LF Energy, hasProject, Shapeshifter]
-
A.
Changeland
Changeland is a 2019 independent dramedy film written and directed by Seth Green, following two friends on a life-changing trip to Thailand.
-
B.
She Who Changes
She Who Changes is a feminist theological work by Carol P. Christ that reimagines the divine in dynamic, relational, and goddess-centered terms.
-
C.
The Shape
The Shape is the silent, masked embodiment of pure evil and the primary antagonist in John Carpenter’s Halloween horror film franchise.
-
D.
Eidolon
Eidolon is a genus of large African fruit bats known for their long-distance migrations and important role in seed dispersal.
-
E.
Eidolon
Eidolon is an online classics journal and magazine that presents accessible, socially engaged writing on the ancient world for a broad contemporary audience.
- 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: Shapeshifter Triple: [LF Energy, hasProject, Shapeshifter]
Generated description
Shapeshifter is an LF Energy open-source project focused on standardizing and streamlining energy market communications and flexibility services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shapeshifter Target entity description: Shapeshifter is an LF Energy open-source project focused on standardizing and streamlining energy market communications and flexibility services.
-
A.
Changeland
Changeland is a 2019 independent dramedy film written and directed by Seth Green, following two friends on a life-changing trip to Thailand.
-
B.
She Who Changes
She Who Changes is a feminist theological work by Carol P. Christ that reimagines the divine in dynamic, relational, and goddess-centered terms.
-
C.
The Shape
The Shape is the silent, masked embodiment of pure evil and the primary antagonist in John Carpenter’s Halloween horror film franchise.
-
D.
Eidolon
Eidolon is a genus of large African fruit bats known for their long-distance migrations and important role in seed dispersal.
-
E.
Eidolon
Eidolon is an online classics journal and magazine that presents accessible, socially engaged writing on the ancient world for a broad contemporary audience.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a29ee6c819092bc0da3f9255389 |
completed | April 9, 2026, 12:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e7f9b46881909761ed448fa5ce6e |
completed | April 18, 2026, 8:22 p.m. |
| NEDg | Description generation | batch_69e3f2cc9b7c8190bb5fd89f239917cf |
completed | April 18, 2026, 9:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3f4a37b6c81908ca63270d82579ae |
completed | April 18, 2026, 9:16 p.m. |
Created at: April 8, 2026, 9:27 p.m.