Triple
T4247931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashlee Simpson |
E95572
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
La La
"La La" is a pop-rock song by American singer Ashlee Simpson from her debut album "Autobiography," known for its edgy lyrics and rebellious tone.
|
E425038
|
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: La La | Statement: [Ashlee Simpson, notableWork, La La]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La La Context triple: [Ashlee Simpson, notableWork, La La]
-
A.
La La La
"La La La" is a 2013 hit single by British producer Naughty Boy featuring singer Sam Smith, known for its catchy hook and emotionally charged electronic pop sound.
-
B.
Lali
Lali is the official mascot character created for the 2017 World Aquatics Championships held in Budapest.
-
C.
Lela
Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
-
D.
Laur
Laur is a rural municipality in the province of Nueva Ecija in the Philippines, known for its agricultural landscape and proximity to the Sierra Madre mountain range.
-
E.
Lola
Lola is a 1981 West German drama film directed by Rainer Werner Fassbinder, in which Armin Mueller-Stahl plays a prominent role in a story set in postwar Germany.
- 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: La La Triple: [Ashlee Simpson, notableWork, La La]
Generated description
"La La" is a pop-rock song by American singer Ashlee Simpson from her debut album "Autobiography," known for its edgy lyrics and rebellious tone.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La La Target entity description: "La La" is a pop-rock song by American singer Ashlee Simpson from her debut album "Autobiography," known for its edgy lyrics and rebellious tone.
-
A.
La La La
"La La La" is a 2013 hit single by British producer Naughty Boy featuring singer Sam Smith, known for its catchy hook and emotionally charged electronic pop sound.
-
B.
Lali
Lali is the official mascot character created for the 2017 World Aquatics Championships held in Budapest.
-
C.
Lela
Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
-
D.
Laur
Laur is a rural municipality in the province of Nueva Ecija in the Philippines, known for its agricultural landscape and proximity to the Sierra Madre mountain range.
-
E.
Lola
Lola is a 1981 West German drama film directed by Rainer Werner Fassbinder, in which Armin Mueller-Stahl plays a prominent role in a story set in postwar Germany.
- 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e9cb71481909b4baa370193148f |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a87c033881908e0cf9fdfecaf36a |
completed | March 14, 2026, 6:27 p.m. |
| NEDg | Description generation | batch_69b5a925b8e881908338dc0620b18734 |
completed | March 14, 2026, 6:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5ad224c848190b1ce76d61fc1d564 |
completed | March 14, 2026, 6:46 p.m. |
Created at: March 12, 2026, 11:06 p.m.